Open AccessA probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information
Author(s) -
Yue Li,
Anna Goldenberg,
KaChun Wong,
Zhaolei Zhang
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt599
Subject(s) - bioconductor , microrna , computational biology , probabilistic logic , computer science , data mining , gene , biology , artificial intelligence , genetics
Systematic identification of microRNA (miRNA) targets remains a challenge. The miRNA overexpression coupled with genome-wide expression profiling is a promising new approach and calls for a new method that integrates expression and sequence information.
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