Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data
Author(s) -
Travers Ching,
Xun Zhu,
Lana X. Garmire
Publication year - 2018
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1006076
Subject(s) - computer science , artificial neural network , proportional hazards model , throughput , lasso (programming language) , artificial intelligence , node (physics) , code (set theory) , machine learning , data mining , mathematics , statistics , engineering , telecommunications , world wide web , wireless , structural engineering , set (abstract data type) , programming language
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