Single cell RNA-seq (scRNA-seq) experiments suffer from a range of characteristic technical biases, such as dropouts (zero or near zero counts) and high...
Read More »Proteome profiling outperforms transcriptome profiling for co-expression based gene function prediction
Co-expression of mRNAs under multiple conditions is commonly used to infer co-functionality of their gene products despite well-known limitations of this “guilt-by-association” (GBA) approach. Recent advancements in mass spectrometry-based proteomic technologies have enabled global expression profiling at the protein level; ...
Read More »Transcriptome-related problems for which novel inference approaches are needed
Since the appearance of the ENCODE project and due to follow-up work, a shift from the pervasive transcription observed from RNA-Seq data to its functional validation is gradually occurring. However, much less attention has been turned to the problem of ...
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