Using machine learning to detect the differential usage of novel gene isoforms.

Journal: BMC bioinformatics
PMID: 35042461

Abstract

BACKGROUND: Differential isoform usage is an important driver of inter-individual phenotypic diversity and is linked to various diseases and traits. However, accurately detecting the differential usage of different gene transcripts between groups can be difficult, in particular in less well annotated genomes where the spectrum of transcript isoforms is largely unknown.

Authors

  • Xiaopu Zhang
    The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK. zhangxiaopu96@gmail.com.
  • Musa A Hassan
    The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK.
  • James G D Prendergast
    The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK. james.prendergast@roslin.ed.ac.uk.

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