Explore tweets tagged as #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
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#LabelTransfer #CellTypeAnnotation SIMS Scalable, Interpretable Machine learning for Single cell https://t.co/tZX2M99oJc TabNet attention-based +Temperature scaling of trained network +Automated gene intersection vs Seurat scANVI scVI Scnym Scibet SingleR scBERT "When applied
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GPT-4 accurately annotates cell types in single-cell RNA sequencing using marker gene data, reducing annotation effort. This R package, GPTCelltype, automates this process. #CellTypeAnnotation. Daily biotech insights 👉🏼 @gathersight. https://t.co/GULIbKMWhF
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Breakthrough study reveals GPT-4's precision in cell type identification, revolutionizing biomedical analysis. 🧬 #GPT4 #SingleCellRNA #CellTypeAnnotation #Bioinformatics Read more: https://t.co/RmVX2SVBxU
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scAnnotate: an automated cell type annotation tool for single-cell RNA-sequencing data. #scRNAseq #CellTypeAnnotation @BioinfoAdv
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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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Can we improve cell type classification with more data? Today’s blog explores how scTab can overcome the limitations of traditional approaches: https://t.co/oDYz6XWf9J
#scRNAseq #celltypeannotation #bioinformatics #MachineLearning #AI
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scATAcat: cell-type annotation for scATAC-seq data. #scATACseq #CellTypeAnnotation #NARgenomicsAndBioinformatics
https://t.co/avVY2Co7XW
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ICYMI: Can we improve cell type classification with more data? We explored how scTab has the capacity to overcome the limitations of traditional approaches in our blog: https://t.co/bOdVXegohL
#scRNAseq #celltypeannotation #bioinformatics #MachineLearning #AI
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ELeFHAnt provides users with the flexibility of choosing a single machine learning based classifier or letting ELeFHAnt automatically use the power of randomForest and SVM to make predictions. It has 3 functions: CelltypeAnnotation, LabelHarmonization, and DeduceRelationship.
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Our improved reliability scoring allows better selection of reference cell type signatures from published literature for accurate cell typing. #cellkb #singlecell #celltypeannotation #celltyping
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