Jan 12, 2018 · Together, these analyses suggest that SEVA can distinguish differences in heterogeneity in isoform usage that are specific to cancer subtypes.
Jun 1, 2018 · These statistics model differences in isoform usage in normal tissues, which have stable regulation of gene splicing. Pathological conditions, ...
Jun 9, 2017 · The algorithm observes substantial differences in gene isoform usage between head and neck tumor subtypes, with greater inter-tumor ...
Jun 1, 2018 · These statistics model differences in isoform usage in normal tissues, which have stable regulation of gene splicing. Pathological conditions, ...
These statistics model differences in isoform usage in normal tissues, which have stable regulation of gene splicing. Pathological conditions, such as cancer, ...
May 7, 2024 · These statistics model differences in isoform usage in normal tissues, which have stable regulation of gene splicing. Pathological conditions, ...
Jan 31, 2018 · Simulated data show that SEVA is unique in modeling heterogeneity of gene isoform usage, and benchmark SEVA's performance against EBSeq, ...
Dive into the research topics of 'Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer'. Together they form ...
Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer. Authors. Bahman, Afsari. Publication date: 16 May ...
In this study, we develop SEVA to identify holistic and multivariate changes in isoform expression in tumor samples with heterogeneous gene isoform usage.