Cargando…
Network topology measures for identifying disease-gene association in breast cancer
BACKGROUND: Massive biological datasets are generated in different locations all over the world. Analysis of these datasets is required in order to extract knowledge that might be helpful for biologists, physicians and pharmacists. Recently, analysis of biological networks has received a lot of atte...
Autores principales: | Ramadan, Emad, Alinsaif, Sadiq, Hassan, Md Rafiul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965731/ https://www.ncbi.nlm.nih.gov/pubmed/27454166 http://dx.doi.org/10.1186/s12859-016-1095-5 |
Ejemplares similares
-
Texture features in the Shearlet domain for histopathological image classification
por: Alinsaif, Sadiq, et al.
Publicado: (2020) -
Identifying disease-specific genes based on their topological significance in protein networks
por: Dezső, Zoltán, et al.
Publicado: (2009) -
A new approach to enhance the performance of decision tree for classifying gene expression data
por: Hassan, Md Rafiul, et al.
Publicado: (2013) -
Identifying the topology of signaling networks from partial RNAi data
por: Ren, Yuanfang, et al.
Publicado: (2016) -
A voting approach to identify a small number of highly predictive genes using multiple classifiers
por: Hassan, Md Rafiul, et al.
Publicado: (2009)