PULSE – Positive Unlabeled Learning for Splicing Elucidation

PULSE

:: DESCRIPTION

PULSE is a semi-supervised learning algorithm, positive unlabeled learning for splicing elucidation, which uses 48 features spanning various categories.

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::DEVELOPER

Kim Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ MacOsX

:: DOWNLOAD

 PULSE

:: MORE INFORMATION

Citation

Cell Rep. 2015 Jul 14;12(2):183-9. doi: 10.1016/j.celrep.2015.06.031. Epub 2015 Jul 2.
Semi-supervised Learning Predicts Approximately One Third of the Alternative Splicing Isoforms as Functional Proteins.
Hao Y, Colak R, Teyra J, Corbi-Verge C, Ignatchenko A, Hahne H, Wilhelm M, Kuster B, Braun P, Kaida D, Kislinger T, Kim PM