CAP-RNAseq: an integrated pipeline for functional annotation and prioritization of co-expression clusters
Cluster analysis is one of the most widely used exploratory methods for visualization and
grou** of gene expression patterns across multiple samples or treatment groups …
grou** of gene expression patterns across multiple samples or treatment groups …
Curated single cell multimodal landmark datasets for R/Bioconductor
Background The majority of high-throughput single-cell molecular profiling methods quantify
RNA expression; however, recent multimodal profiling methods add simultaneous …
RNA expression; however, recent multimodal profiling methods add simultaneous …
Unsupervised Single-Cell Clustering with Asymmetric Within-Sample Transformation and Per-Cluster Supervised Features Selection
SM Pagnotta - Transcriptome Data Analysis, 2024 - Springer
This chapter shows applying the Asymmetric Within-Sample Transformation to single-cell
RNA-Seq data matched with a previous dropout imputation. The asymmetric transformation …
RNA-Seq data matched with a previous dropout imputation. The asymmetric transformation …
Clustering et analyse différentielle de données d'expression génique
B Hivert - 2024 - theses.hal.science
Les analyses des données d'expression génique issues du séquençage de l'ARN (RNA-
seq) en masse (bulk RNA-seq) ou en cellule unique (scRNA-seq) sont devenues courantes …
seq) en masse (bulk RNA-seq) ou en cellule unique (scRNA-seq) sont devenues courantes …