Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer

January 31, 2018 Leave a comment 5,858 Views

Current bioinformatics methods to detect changes in gene isoform usage in distinct phenotypes compare the relative expected isoform usage in phenotypes. These statistics model differences in isoform usage in...

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Tag Archives: Splice Expression Variation Analysis

Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer

Kyoto scientists use mathematics to extract clear signals from single-cell RNA sequencing data

SMaSH – a scalable, general marker gene identification framework for single-cell RNA-sequencing

PlaqView 2.0 – A comprehensive web portal for cardiovascular single-cell genomics

Sample-multiplexing approaches for single-cell sequencing

Researchers use single-cell approaches and deep learning to map all stages of fruit fly embryo development

DeLTa-Seq – direct-lysate targeted RNA-Seq from crude tissue lysate

Tumor bulk-RNA seq identifies patients at high risk of progression in non-complete pathological responders from NADIM trial