Top Tweets for #CellTypeAnnotation
#LabelTransfer #CellTypeAnnotation
popV/popular Vote
Automated #CellTypeAnnotation + Measures of Intrinsic & Extrinsic Uncertainty
Extrinsic: agreement of 8 prediction algorithms
Intrinsic: classifier score of each algorithm
RF SVM Celltypist OnClass KNN+Scanorama/BBKNN/scVI/scanVI
Confusion matrices b/w consensus predictions & each method
+a Google Colab notebook with Tabula Sapiens 20 organs pre-trained models
+"scripts to add custom cell type labels to the Cell Ontology before processing by popV"
Low consensus score/Low accuracy▶️manual annotation, likely needed for most states of #EndothelialCell & #SmoothMuscleCell 🧐
@nir_yosef1 @NatureGenet 2024
https://t.co/c2kuAo6OBP

#LabelTransfer #CellTypeAnnotation
SIMS
Scalable, Interpretable Machine learning for Single cell
https://t.co/IMUsec2Fj6
TabNet attention-based
+Temperature scaling of trained network
+Automated gene intersection
vs Seurat scANVI scVI Scnym Scibet SingleR scBERT
"When applied to cortical organoids, SIMS identified previously misannotated cells in existing atlases"
Vanessa Jonsson & Mohammed Mostajo-Radji labs @CellGenomics 2025
https://t.co/fLqHLeCpCF

scATAcat: cell-type annotation for scATAC-seq data. #scATACseq #CellTypeAnnotation #NARgenomicsAndBioinformatics
https://t.co/avVY2Co7XW
scAnnotate: an automated cell type annotation tool for single-cell RNA-sequencing data. #scRNAseq #CellTypeAnnotation @BioinfoAdv https://t.co/TdgUAzGJiC
Single-Cell Transcriptome Profiling Simulation Reveals the Impact of Sequencing Parameters and Algorithms on Clustering. View Full-Text: https://t.co/bbJHUjDGfv
@MissionBio
#bioinformatics; #clustering; #celltypeannotation
CDSeqR: fast complete deconvolution for gene expression data from bulk tissues. #RNAseq #GeneExpression #CDSeq #Rpackage #CellTypeAnnotation #Bioinformatics
https://t.co/OmGDBoKz3M @BMCBioinfo
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