Cargando…
MultiDCoX: Multi-factor analysis of differential co-expression
BACKGROUND: Differential co-expression (DCX) signifies change in degree of co-expression of a set of genes among different biological conditions. It has been used to identify differential co-expression networks or interactomes. Many algorithms have been developed for single-factor differential co-ex...
Autores principales: | Liany, Herty, Rajapakse, Jagath C., Karuturi, R. Krishna Murthy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751780/ https://www.ncbi.nlm.nih.gov/pubmed/29297310 http://dx.doi.org/10.1186/s12859-017-1963-7 |
Ejemplares similares
-
Impact of clipping noise on the sum rate of NOMA with PD-DCO-OFDM and conventional DCO-OFDM
por: Gebeyehu, Zelalem Hailu
Publicado: (2020) -
Differential co-expression network analysis with DCoNA reveals isomiR targeting aberrations in prostate cancer
por: Zhiyanov, Anton, et al.
Publicado: (2023) -
Machine learning for DCO-OFDM based LiFi
por: Purnita, Krishna Saha, et al.
Publicado: (2021) -
Final Report of WP2 DCO
por: Chaudron, M, et al.
Publicado: (2013) -
Differential co-expression framework to quantify goodness of biclusters and compare biclustering algorithms
por: Chia, Burton Kuan Hui, et al.
Publicado: (2010)