Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach.
Yuan, Fei; Zhang, Yu-Hang; Kong, Xiang-Yin; Cai, Yu-Dong.
Biomed Res Int
; 2017: 5741948, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-28293637
The impact of sequence length and number of sequences on promoter prediction performance.
PLEK: a tool for predicting long non-coding RNAs and messenger RNAs based on an improved k-mer scheme.
Feature weight estimation for gene selection: a local hyperlinear learning approach.
Shape and secondary structure prediction for ncRNAs including pseudoknots based on linear SVM.
A feature selection method for classification within functional genomics experiments based on the proportional overlapping score.
Robust and stable gene selection via Maximum-Minimum Correntropy Criterion.
DANN: a deep learning approach for annotating the pathogenicity of genetic variants.
Sparse Modeling Reveals miRNA Signatures for Diagnostics of Inflammatory Bowel Disease.
Briefing in application of machine learning methods in ion channel prediction.
Predicting cancer-associated germline variations in proteins.