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

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Bibliographic Details
Title: Using machine learning to detect the differential usage of novel gene isoforms.
Authors: Zhang X; The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK. zhangxiaopu96@gmail.com., Hassan MA; The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK., Prendergast JGD; The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK. james.prendergast@roslin.ed.ac.uk.
Source: BMC bioinformatics [BMC Bioinformatics] 2022 Jan 18; Vol. 23 (1), pp. 45. Date of Electronic Publication: 2022 Jan 18.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1471-2105
DOI:10.1186/s12859-022-04576-3