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Titel:

Semi-supervised Learning Predicts Approximately One Third of the Alternative Splicing Isoforms as Functional Proteins

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Hao, Yanqi; Colak, Recep; Teyra, Joan; Corbi-Verge, Carles; Ignatchenko, Alexander; Hahne, Hannes; Wilhelm, Mathias; Kuster, Bernhard; Braun, Pascal; Kaida, Daisuke; Kislinger, Thomas; Kim, Philip M.
Abstract:
Alternative splicing acts on transcripts from almost all human multi-exon genes. Notwithstanding its ubiquity, fundamental ramifications of splicing on protein expression remain unresolved. The number and identity of spliced transcripts that form stably folded proteins remain the sources of considerable debate, due largely to low coverage of experimental methods and the resulting absence of negative data. We circumvent this issue by developing a semi-supervised learning algorithm, positive unlab...     »
Stichworte:
BayBioMS
Zeitschriftentitel:
Cell Reports
Jahr:
2015
Band / Volume:
12
Heft / Issue:
2
Seitenangaben Beitrag:
183-189
Volltext / DOI:
doi:10.1016/j.celrep.2015.06.031
Verlag / Institution:
Elsevier BV
E-ISSN:
2211-1247
Publikationsdatum:
01.07.2015
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