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tanaylab
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metacells
Metacells - Single-cell RNA Sequencing Analysis
MIT License
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Rare genes, rare cells, and outliers in divide and conquer
#74
LoaiNaom
closed
5 days ago
4
How to pick the lateral genes ?
#73
LoaiNaom
closed
1 week ago
6
convert MC to Seuratobject format
#72
jadewu77
opened
1 month ago
3
ctx pyscenic Error
#71
angelica-varesi
closed
1 month ago
1
metacells2 'unknown mask data: lateral_gene'
#70
angelica-varesi
closed
1 month ago
4
divide_and_conquer_pipeline Error
#69
simonekats
opened
2 months ago
7
mc.pl.extract_clean_data(full, name="hca_bm.one-pass.clean") crashes jupyter notebook everytime
#66
lindsdudley
opened
4 months ago
19
Format error
#65
Ray569743422
opened
6 months ago
1
How can I save meta cells and its gene count as a txt file?
#64
jrahimik
closed
6 months ago
6
Meaning of aggregated values in metacells
#63
annaKett
opened
7 months ago
3
Preserving a reasonable number of rare cells
#62
annaKett
closed
7 months ago
6
Is there a way to automate this pipeline?
#61
crotoc
opened
8 months ago
5
Define number of Metacells
#60
antonio-miranda
opened
10 months ago
1
_collect_metacell() performs unweighted geomean for regularization values
#59
orenmn
closed
10 months ago
1
Updates
#58
orenbenkiki
opened
10 months ago
2
to_proper_matrix doesn't transform the layout of compressed matrices
#57
ukleiner
closed
11 months ago
1
downsample_cells asserts for "float32" type, prohibits "float64"
#56
ukleiner
closed
11 months ago
1
Divide and conquer issue
#55
SalimMegat
closed
12 months ago
9
Key error "clean genes"
#54
SalimMegat
closed
12 months ago
2
Assertion error
#53
SalimMegat
closed
12 months ago
2
vignettes for 0.8
#52
GabyBG
closed
1 year ago
2
compute_for_mcview doesn't add mcview_format
#51
ukleiner
closed
1 year ago
3
Thread explosion
#50
sophie-xhonneux
opened
1 year ago
1
noisy genes can be selected for computing similarity
#49
orenmn
closed
1 year ago
1
Optionally pick the column in adata.var with gene names to filter by
#48
ukleiner
closed
1 year ago
0
Pick the column in var DF to mask by in tools.find_named_genes
#47
ukleiner
closed
1 year ago
6
Adding forced genes to feature genes in divide_and_conquer_pipeline
#46
orimosko
closed
12 months ago
1
Metadata Attribution for scRNAseq Metacells
#45
fadichoucha
closed
1 year ago
3
[compilation not working] install option native not found
#44
blackTay
closed
12 months ago
1
QC Metrics
#43
AlexAdrian-Hamazaki
closed
1 year ago
2
No explaination for AttributeError in mc.pl.divide_and_conquer_pipeline
#42
zvittorio
closed
1 year ago
2
exclude feature_genes from possible deletion
#41
ofirr
closed
1 year ago
1
AttributeError: partially initialized module 'metacells' has no attribute 'ut'
#38
imet-k
closed
1 year ago
4
Annotate metacell obs information
#37
Sayyam-Shah
closed
1 year ago
2
Metacell count matrix
#36
Sayyam-Shah
closed
1 year ago
5
_compute_elements_similarity() might return wrong correlation values
#35
orenmn
closed
1 year ago
3
compute_for_mcview() computes gene-gene similarity without normalization
#34
orenmn
closed
1 year ago
2
Why do i got ValueError: Empty feature data, giving up
#33
chansigit
opened
1 year ago
2
Negative metacells
#32
Sayyam-Shah
closed
1 year ago
1
Metacells analysis gets killed in divide_and_conquer_pipeline
#31
aschlicker
closed
1 year ago
4
AssertionError on outgoing rank from KNN
#30
Benfeitas
closed
1 year ago
3
AssertionError related with parallelization in divide_and_conquer_pipeline
#29
Benfeitas
closed
1 year ago
4
enforcing metacells by donor
#28
hoondy
closed
1 year ago
4
Migrate to daf
#27
orenbenkiki
opened
2 years ago
0
Create layer of per-cell summed UMIs into the MC
#26
orenbenkiki
closed
1 year ago
2
pip installation of MC2 can misdirect BLAS library paths
#25
tzeitim
closed
2 years ago
1
Parallelization of some QC routines overloads the system
#24
tzeitim
closed
1 year ago
34
scipy.sparse.compressed error
#23
rargelaguet
closed
1 year ago
3
Would like to use harmonized PC as input to minimize batch effect
#22
hurleyLi
closed
2 years ago
5
actual cells behind a metacell
#21
chansigit
closed
2 years ago
1
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