Cargando…
Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach
Identification of disease genes is a hot topic in biomedicine and genomics. However, it is a challenging problem because of the complexity of diseases. Inflammatory bowel disease (IBD) is an idiopathic disease caused by a dysregulated immune response to host intestinal microflora. It has been proven...
Autores principales: | Yuan, Fei, Zhang, Yu-Hang, Kong, Xiang-Yin, Cai, Yu-Dong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331171/ https://www.ncbi.nlm.nih.gov/pubmed/28293637 http://dx.doi.org/10.1155/2017/5741948 |
Ejemplares similares
-
Analysis and Identification of Aptamer-Compound Interactions with a Maximum Relevance Minimum Redundancy and Nearest Neighbor Algorithm
por: Wang, ShaoPeng, et al.
Publicado: (2016) -
Minimum redundancy maximum relevance feature selection approach for temporal gene expression data
por: Radovic, Milos, et al.
Publicado: (2017) -
PREAL: prediction of allergenic protein by maximum Relevance Minimum Redundancy (mRMR) feature selection
por: Wang, Jing, et al.
Publicado: (2013) -
Mining for Candidate Genes Related to Pancreatic Cancer Using Protein-Protein Interactions and a Shortest Path Approach
por: Yuan, Fei, et al.
Publicado: (2015) -
Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process
por: Saffari, Mohsen, et al.
Publicado: (2021)