Cargando…
An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease
BACKGROUND: There are different and complicated associations between genes and diseases. Finding the causal associations between genes and specific diseases is still challenging. In this work we present a method to predict novel associations of genes and pathways with inflammatory bowel disease (IBD...
Autores principales: | Eguchi, Ryohei, Karim, Mohammand Bozlul, Hu, Pingzhao, Sato, Tetsuo, Ono, Naoaki, Kanaya, Shigehiko, Altaf-Ul-Amin, Md. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6043997/ https://www.ncbi.nlm.nih.gov/pubmed/30005591 http://dx.doi.org/10.1186/s12859-018-2251-x |
Ejemplares similares
-
Discovery of inflammatory bowel disease-associated miRNAs using a novel bipartite clustering approach
por: Altaf-Ul-Amin, Md., et al.
Publicado: (2020) -
Antibacterial Activity Prediction of Plant Secondary Metabolites Based on a Combined Approach of Graph Clustering and Deep Neural Network
por: Karim, Mohammad Bozlul, et al.
Publicado: (2022) -
An Unsupervised Approach to Predict Functional Relations between Genes Based on Expression Data
por: Altaf-Ul-Amin, Md., et al.
Publicado: (2014) -
Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks
por: Eguchi, Ryohei, et al.
Publicado: (2019) -
Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach
por: Harun, Sarahani, et al.
Publicado: (2021)