Multi-modal¶
Here, we’ll showcase how to curate and register ECCITE-seq data from Papalexi21 in the form of MuData objects.
ECCITE-seq is designed to enable interrogation of single-cell transcriptomes together with surface protein markers in the context of CRISPR screens.
MuData objects build on top of AnnData objects to store multimodal data.
# !pip install 'lamindb[jupyter,bionty]'
!lamin init --storage ./test-multimodal --schema bionty
Show code cell output
💡 connected lamindb: testuser1/test-multimodal
import lamindb as ln
import bionty as bt
💡 connected lamindb: testuser1/test-multimodal
mdata = ln.core.datasets.mudata_papalexi21_subset()
mdata
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
MuData object with n_obs × n_vars = 200 × 300
obs: 'perturbation', 'replicate'
var: 'name'
4 modalities
rna: 200 x 173
obs: 'nCount_RNA', 'nFeature_RNA', 'percent.mito'
var: 'name'
adt: 200 x 4
obs: 'nCount_ADT', 'nFeature_ADT'
var: 'name'
hto: 200 x 12
obs: 'nCount_HTO', 'nFeature_HTO', 'technique'
var: 'name'
gdo: 200 x 111
obs: 'nCount_GDO'
var: 'name'Validate annotations¶
curate = ln.Curate.from_mudata(
mdata,
var_index={
"rna": bt.Gene.symbol, # gene expression
"adt": bt.CellMarker.name, # antibody derived tags reflecting surface proteins
"hto": ln.Feature.name, # cell hashing
"gdo": ln.Feature.name, # guide RNAs
},
categoricals={
"perturbation": ln.ULabel.name, # shared categorical
"replicate": ln.ULabel.name, # shared categorical
"hto:technique": bt.ExperimentalFactor.name # note this is a modality specific categorical
},
organism="human",
)
Show code cell output
❗ 3 non-validated categories are not saved in Feature.name: ['nCount_RNA', 'percent.mito', 'nFeature_RNA']!
→ to lookup categories, use lookup().columns
→ to save, run add_new_from_columns
✅ added 1 record with Feature.name for columns: 'technique'
❗ 2 non-validated categories are not saved in Feature.name: ['nCount_HTO', 'nFeature_HTO']!
→ to lookup categories, use lookup().columns
→ to save, run add_new_from_columns
✅ added 2 records with Feature.name for columns: 'perturbation', 'replicate'
❗ 45 non-validated categories are not saved in Feature.name: ['gdo:G2M.Score', 'adt:MULTI_ID', 'hto:NT', 'gdo:orig.ident', 'hto:technique', 'adt:percent.mito', 'gdo:Phase', 'hto:guide_ID', 'gdo:gene_target', 'rna:nFeature_RNA', 'gdo:replicate', 'adt:nCount_ADT', 'gdo:NT', 'adt:G2M.Score', 'hto:nCount_HTO', 'gdo:guide_ID', 'gdo:S.Score', 'hto:percent.mito', 'adt:perturbation', 'gdo:HTO_classification', 'hto:Phase', 'hto:perturbation', 'adt:nFeature_ADT', 'hto:nFeature_HTO', 'hto:S.Score', 'rna:nCount_RNA', 'adt:replicate', 'hto:gene_target', 'gdo:percent.mito', 'adt:gene_target', 'adt:HTO_classification', 'hto:replicate', 'hto:orig.ident', 'adt:Phase', 'hto:HTO_classification', 'adt:orig.ident', 'adt:S.Score', 'rna:percent.mito', 'gdo:nCount_GDO', 'adt:NT', 'hto:MULTI_ID', 'hto:G2M.Score', 'adt:guide_ID', 'gdo:MULTI_ID', 'gdo:perturbation']!
→ to lookup categories, use lookup().columns
→ to save, run add_new_from_columns
❗ 1 non-validated categories are not saved in Feature.name: ['nCount_GDO']!
→ to lookup categories, use lookup().columns
→ to save, run add_new_from_columns
❗ 2 non-validated categories are not saved in Feature.name: ['nFeature_ADT', 'nCount_ADT']!
→ to lookup categories, use lookup().columns
→ to save, run add_new_from_columns
✅ added 100 records from public with Gene.symbol for var_index: 'SH2D6', 'MEF2C-AS2', 'ARHGAP26-AS1', 'GABRA1', 'H4C12', 'HLA-DQB1-AS1', 'SPACA1', 'VNN1', 'CTAGE15', 'PFKFB1', 'TRPC5', 'RBPMS-AS1', 'CA8', 'CSMD3', 'ZNF483', 'AK8', 'TMEM72-AS1', 'ARAP1-AS2', 'CRYAB', 'DNAI7', ...
❗ 84 non-validated categories are not saved in Gene.symbol: ['RP5-827C21.6', 'XX-CR54.1', 'RP11-379B18.5', 'RP11-778D9.12', 'RP11-703G6.1', 'AC005150.1', 'RP11-717H13.1', 'CTC-498J12.1', 'RP11-524H19.2', 'AC006042.7', 'AC002066.1', 'AC073934.6', 'RP11-268G12.1', 'U52111.14', 'RP11-235C23.5', 'RP11-12J10.3', 'RP11-324E6.9', 'RP11-187A9.3', 'RP11-365N19.2', 'RP11-346D14.1', 'RP11-265N6.2', 'CTD-3065B20.2', 'RP11-304L19.11', 'AC026471.6', 'AC091132.1', 'RP11-138C9.1', 'RP11-75C10.9', 'RP11-835E18.5', 'RP11-760N9.1', 'RP11-17J14.2', 'CTD-3193O13.8', 'AC004019.13', 'RP11-465N4.4', 'RP11-434D9.1', 'RP11-325L7.1', 'RP11-134K13.4', 'RP5-855F16.1', 'RP3-327A19.5', 'RP11-546K22.3', 'RP11-473O4.4', 'RP13-582O9.7', 'RP11-12D24.10', 'RP11-120C12.3', 'RP11-80H5.7', 'RP11-496I9.1', 'AP000442.4', 'RP11-867G23.3', 'RP11-113K21.4', 'RP11-745O10.2', 'RP11-335O4.3', 'RP11-408E5.4', 'AE000662.93', 'AL132989.1', 'RP11-973N13.4', 'RP11-982M15.2', 'RP11-32B5.7', 'RP1-1J6.2', 'RP3-337O18.9', 'AC011558.5', 'CTA-373H7.7', 'RP11-415J8.5', 'AC092687.5', 'RP11-532F6.4', 'RP11-146I2.1', 'RP11-624M8.1', 'RP11-219B4.7', 'RP11-9M16.2', 'RP11-247A12.8', 'RP11-536K7.5', 'RP11-186N15.3', 'RP11-152H18.3', 'CTD-3012A18.1', 'CTD-2562J17.2', 'RP11-136I14.5', 'RP11-110I1.14', 'RP11-2H8.2', 'RP11-307N16.6', 'RP11-3D4.2', 'RP11-231C14.4', 'CTB-134F13.1', 'RP11-403P17.5', 'RP11-214C8.2', 'CTB-31O20.9', 'AC092295.4']!
→ to lookup categories, use lookup().var_index
→ to save, run add_new_from_var_index
✅ added 4 records from public with CellMarker.name for var_index: 'CD86', 'PDL1', 'PDL2', 'CD366'
❗ 12 non-validated categories are not saved in Feature.name: ['rep1-tx', 'rep1-ctrl', 'rep2-tx', 'rep2-ctrl', 'PDL1g1-tx', 'PDL1g1-ctrl', 'PDL1g2-tx', 'PDL1g2-ctrl', 'rep3-tx', 'rep3-ctrl', 'rep4-tx', 'rep4-ctrl']!
→ to lookup categories, use lookup().var_index
→ to save, run add_new_from_var_index
❗ 111 non-validated categories are not saved in Feature.name: ['eGFPg1', 'CUL3g1', 'CUL3g2', 'CUL3g3', 'CMTM6g1', 'CMTM6g2', 'CMTM6g3', 'NTg1', 'NTg2', 'NTg3', 'NTg4', 'NTg5', 'NTg7', 'PDL1g1', 'PDL1g2', 'PDL1g3', 'ATF2g1', 'ATF2g2', 'ATF2g3', 'ATF2g4', 'BRD4g1', 'BRD4g2', 'BRD4g3', 'BRD4g4', 'CAV1g1', 'CAV1g2', 'CAV1g3', 'CAV1g4', 'CD86g1', 'CD86g2', 'CD86g3', 'CD86g4', 'ETV7g1', 'ETV7g2', 'ETV7g3', 'ETV7g4', 'IFNGR1g1', 'IFNGR1g2', 'IFNGR1g3', 'IFNGR1g4', 'IFNGR2g1', 'IFNGR2g2', 'IFNGR2g3', 'IFNGR2g4', 'IRF1g1', 'IRF1g2', 'IRF1g3', 'IRF1g4', 'IRF7g1', 'IRF7g2', 'IRF7g3', 'IRF7g4', 'JAK2g1', 'JAK2g2', 'JAK2g3', 'JAK2g4', 'MARCH8g1', 'MARCH8g2', 'MARCH8g3', 'MARCH8g4', 'MYCg1', 'MYCg2', 'MYCg3', 'MYCg4', 'NFKBIAg1', 'NFKBIAg2', 'NFKBIAg3', 'NFKBIAg4', 'PDCD1LG2g1', 'PDCD1LG2g2', 'PDCD1LG2g3', 'PDCD1LG2g4', 'POU2F2g1', 'POU2F2g2', 'POU2F2g3', 'POU2F2g4', 'SMAD4g1', 'SMAD4g2', 'SMAD4g3', 'SMAD4g4', 'SPI1g1', 'SPI1g2', 'SPI1g3', 'SPI1g4', 'STAT1g1', 'STAT1g2', 'STAT1g3', 'STAT1g4', 'STAT2g1', 'STAT2g2', 'STAT2g3', 'STAT2g4', 'STAT3g1', 'STAT3g2', 'STAT3g3', 'STAT3g4', 'STAT5Ag1', 'STAT5Ag2', 'STAT5Ag3', 'STAT5Ag4', 'TNFRSF14g1', 'TNFRSF14g2', 'TNFRSF14g3', 'TNFRSF14g4', 'UBE2L6g1', 'UBE2L6g2', 'UBE2L6g3', 'UBE2L6g4', 'NTg8', 'NTg9', 'NTg10']!
→ to lookup categories, use lookup().var_index
→ to save, run add_new_from_var_index
# add new gene symbols from the ['rna'].var.index
curate.add_new_from_var_index("rna")
# add new categories from the hto and gdo var.index
curate.add_new_from_var_index("hto")
curate.add_new_from_var_index("gdo")
# optional: register additional columns we'd like to curate
curate.add_new_from_columns(modality="rna")
curate.add_new_from_columns(modality="adt")
curate.add_new_from_columns(modality="hto")
curate.add_new_from_columns(modality="gdo")
Show code cell output
✅ added 84 records with Gene.symbol for var_index: 'RP5-827C21.6', 'XX-CR54.1', 'RP11-379B18.5', 'RP11-778D9.12', 'RP11-703G6.1', 'AC005150.1', 'RP11-717H13.1', 'CTC-498J12.1', 'RP11-524H19.2', 'AC006042.7', 'AC002066.1', 'AC073934.6', 'RP11-268G12.1', 'U52111.14', 'RP11-235C23.5', 'RP11-12J10.3', 'RP11-324E6.9', 'RP11-187A9.3', 'RP11-365N19.2', 'RP11-346D14.1', ...
✅ added 12 records with Feature.name for var_index: 'rep1-tx', 'rep1-ctrl', 'rep2-tx', 'rep2-ctrl', 'PDL1g1-tx', 'PDL1g1-ctrl', 'PDL1g2-tx', 'PDL1g2-ctrl', 'rep3-tx', 'rep3-ctrl', 'rep4-tx', 'rep4-ctrl'
✅ added 111 records with Feature.name for var_index: 'eGFPg1', 'CUL3g1', 'CUL3g2', 'CUL3g3', 'CMTM6g1', 'CMTM6g2', 'CMTM6g3', 'NTg1', 'NTg2', 'NTg3', 'NTg4', 'NTg5', 'NTg7', 'PDL1g1', 'PDL1g2', 'PDL1g3', 'ATF2g1', 'ATF2g2', 'ATF2g3', 'ATF2g4', ...
✅ added 3 records with Feature.name for rna obs columns: 'nCount_RNA', 'nFeature_RNA', 'percent.mito'
✅ added 2 records with Feature.name for adt obs columns: 'nCount_ADT', 'nFeature_ADT'
✅ added 2 records with Feature.name for hto obs columns: 'nCount_HTO', 'nFeature_HTO'
✅ added 1 record with Feature.name for gdo obs columns: 'nCount_GDO'
curate.validate()
Show code cell output
✅ rna_var_index is validated against Gene.symbol
✅ adt_var_index is validated against CellMarker.name
✅ hto_var_index is validated against Feature.name
✅ gdo_var_index is validated against Feature.name
💡 mapping perturbation on ULabel.name
❗ 2 terms are not validated: 'Perturbed', 'NT'
→ save terms via .add_new_from('perturbation')
💡 mapping replicate on ULabel.name
❗ 3 terms are not validated: 'rep3', 'rep1', 'rep2'
→ save terms via .add_new_from('replicate')
💡 mapping technique on ExperimentalFactor.name
❗ found 1 terms validated terms: ['cell hashing']
→ save terms via .add_validated_from('technique')
✅ technique is validated against ExperimentalFactor.name
False
# add validated and new categories
curate.add_new_from("perturbation")
curate.add_new_from("replicate")
curate.add_validated_from("technique", modality="hto")
Show code cell output
✅ added 2 records with ULabel.name for perturbation: 'Perturbed', 'NT'
✅ added 3 records with ULabel.name for replicate: 'rep3', 'rep1', 'rep2'
✅ added 1 record from public with ExperimentalFactor.name for technique: 'cell hashing'
curate.validate()
Show code cell output
✅ rna_var_index is validated against Gene.symbol
✅ adt_var_index is validated against CellMarker.name
✅ hto_var_index is validated against Feature.name
✅ gdo_var_index is validated against Feature.name
✅ perturbation is validated against ULabel.name
✅ replicate is validated against ULabel.name
✅ technique is validated against ExperimentalFactor.name
True
Register curated artifact¶
artifact = curate.save_artifact(description="Sub-sampled MuData from Papalexi21")
Show code cell output
❗ no run & transform get linked, consider calling ln.track()
💡 path content will be copied to default storage upon `save()` with key `None` ('.lamindb/S1jSDlerCeXENSLa847n.h5mu')
✅ storing artifact 'S1jSDlerCeXENSLa847n' at '/home/runner/work/lamin-usecases/lamin-usecases/docs/test-multimodal/.lamindb/S1jSDlerCeXENSLa847n.h5mu'
💡 you can auto-track these data as a run input by calling `ln.track()`
✅ loaded 2 Feature records matching name: 'perturbation', 'replicate'
❗ did not create Feature records for 45 non-validated names: 'adt:G2M.Score', 'adt:HTO_classification', 'adt:MULTI_ID', 'adt:NT', 'adt:Phase', 'adt:S.Score', 'adt:gene_target', 'adt:guide_ID', 'adt:nCount_ADT', 'adt:nFeature_ADT', 'adt:orig.ident', 'adt:percent.mito', 'adt:perturbation', 'adt:replicate', 'gdo:G2M.Score', 'gdo:HTO_classification', 'gdo:MULTI_ID', 'gdo:NT', 'gdo:Phase', 'gdo:S.Score', ...
💡 parsing feature names of X stored in slot 'var'
✅ 161 terms (93.10%) are validated for symbol
❗ 12 terms (6.90%) are not validated for symbol: CTC-467M3.1, HIST1H4K, CASC1, LARGE, NBPF16, C1orf65, IBA57-AS1, KIAA1239, TMEM75, AP003419.16, FAM65C, C14orf177
✅ linked: FeatureSet(uid='QrFQarwAdDswlSZqWgLs', n=172, dtype='float', registry='bionty.Gene', hash='y1Qo897t3gp9S3it4dz6UQ', created_by_id=1)
💡 parsing feature names of slot 'obs'
✅ 3 terms (100.00%) are validated for name
✅ linked: FeatureSet(uid='pMJPBdRtSq9h3YNuVs6L', n=3, registry='Feature', hash='QBIOwXGRnZu-56ksgSaB2w', created_by_id=1)
💡 parsing feature names of X stored in slot 'var'
✅ 4 terms (100.00%) are validated for name
✅ linked: FeatureSet(uid='F6KKwoiWCW8MZPOgmOjX', n=4, dtype='float', registry='bionty.CellMarker', hash='o8EDT805HnP0Fmk4uZ9eQA', created_by_id=1)
💡 parsing feature names of slot 'obs'
✅ 2 terms (100.00%) are validated for name
✅ linked: FeatureSet(uid='4OvDOqB60YBxku8xGnnJ', n=2, registry='Feature', hash='_y6pgMel6_5d9U3T99zc3Q', created_by_id=1)
💡 parsing feature names of X stored in slot 'var'
✅ 12 terms (100.00%) are validated for name
✅ linked: FeatureSet(uid='MDgx3d4PA0T67y60THJC', n=12, dtype='float', registry='Feature', hash='G3D1QUGoaqxCpaTT-B8Qig', created_by_id=1)
💡 parsing feature names of slot 'obs'
✅ 3 terms (100.00%) are validated for name
✅ linked: FeatureSet(uid='hlbTmq7H8QOewuIOQhz9', n=3, registry='Feature', hash='KT8UQM0VlAglllgMaki6pQ', created_by_id=1)
💡 parsing feature names of X stored in slot 'var'
✅ 111 terms (100.00%) are validated for name
✅ linked: FeatureSet(uid='V2i2hkIL2FieZ98lLTqh', n=111, dtype='float', registry='Feature', hash='xe2jkyTOLg7EFoGciEYCNw', created_by_id=1)
💡 parsing feature names of slot 'obs'
✅ 1 term (100.00%) is validated for name
✅ linked: FeatureSet(uid='0RHmvEBnuzGfi06QOpsd', n=1, registry='Feature', hash='ZqHOZyVqcAn7SgSyp3IpZQ', created_by_id=1)
✅ saved 9 feature sets for slots: 'obs','['rna'].var','['rna'].obs','['adt'].var','['adt'].obs','['hto'].var','['hto'].obs','['gdo'].var','['gdo'].obs'
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1454: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("var", axis=0, join_common=join_common)
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/mudata/_core/mudata.py:1352: FutureWarning: From 0.4 .update() will not pull obs/var columns from individual modalities by default anymore. Set mudata.set_options(pull_on_update=False) to adopt the new behaviour, which will become the default. Use new pull_obs/pull_var and push_obs/push_var methods for more flexibility.
self._update_attr("obs", axis=1, join_common=join_common)
artifact.describe()
Artifact(uid='S1jSDlerCeXENSLa847n', description='Sub-sampled MuData from Papalexi21', suffix='.h5mu', type='dataset', _accessor='MuData', size=545784, hash='Lb3MBm0Iv9B_8kO9D0CxWw', _hash_type='md5', n_observations=200, visibility=1, _key_is_virtual=True, updated_at='2024-08-06 09:43:22 UTC')
Provenance
.created_by = 'testuser1'
.storage = '/home/runner/work/lamin-usecases/lamin-usecases/docs/test-multimodal'
Labels
.experimental_factors = 'cell hashing'
.ulabels = 'Perturbed', 'NT', 'rep3', 'rep1', 'rep2'
Features
'perturbation' = 'Perturbed', 'NT'
'replicate' = 'rep3', 'rep1', 'rep2'
'technique' = 'cell hashing'
Feature sets
'obs' = 'perturbation', 'replicate'
'['rna'].var' = 'SH2D6', 'ARHGAP26-AS1', 'GABRA1', 'HLA-DQB1-AS1', 'SPACA1', 'VNN1', 'CTAGE15', 'PFKFB1', 'TRPC5', 'RBPMS-AS1', 'CA8', 'CSMD3', 'ZNF483'
'['rna'].obs' = 'nFeature_RNA', 'percent.mito', 'nCount_RNA'
'['adt'].var' = 'CD86', 'PDL1', 'PDL2', 'CD366'
'['adt'].obs' = 'nCount_ADT', 'nFeature_ADT'
'['hto'].var' = 'rep1-tx', 'rep1-ctrl', 'rep2-tx', 'rep2-ctrl', 'PDL1g1-tx', 'PDL1g1-ctrl', 'PDL1g2-tx', 'PDL1g2-ctrl', 'rep3-tx', 'rep3-ctrl', 'rep4-tx', 'rep4-ctrl'
'['hto'].obs' = 'technique', 'nCount_HTO', 'nFeature_HTO'
'['gdo'].var' = 'eGFPg1', 'CUL3g1', 'CUL3g2', 'CUL3g3', 'CMTM6g1', 'CMTM6g2', 'CMTM6g3', 'NTg1', 'NTg2', 'NTg3', 'NTg4', 'NTg5', 'NTg7', 'PDL1g1', 'PDL1g2', 'PDL1g3', 'ATF2g1', 'ATF2g2', 'ATF2g3', 'ATF2g4'
'['gdo'].obs' = 'nCount_GDO'
# clean up test instance
!rm -r test-multimodal
!lamin delete --force test-multimodal
Show code cell output
💡 deleting instance testuser1/test-multimodal