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Questions should include this tag if they pertain to issues related to bioinformatics analysis of RNA-seq data, e.g. normalization, differential expression analysis, sequencing and experimental design or transcriptome assembly...
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What are the state-of-the-art cell-type RNA-Seq deconvolution methods?
I would like to find the proportion of each cell-type in bulk RNA-Seq transcriptomics data. I am looking for some guidance on the following:
What are the state-of-the-art methods?
What are their assu …
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Challenging benchmarks for supervised learning on sparse scRNA-seq data
One challenging aspect of modeling scRNA-seq data is data sparsity, that is, scRNA-seq measurements typically suffer from large fractions of observed zeros (i.e. dropouts), where a given gene in a giv …