Cargando…
Discovering key transcriptomic regulators in pancreatic ductal adenocarcinoma using Dirichlet process Gaussian mixture model
Pancreatic Ductal Adenocarcinoma (PDAC) is the most lethal type of pancreatic cancer, late detection leading to its therapeutic failure. This study aims to determine the key regulatory genes and their impacts on the disease’s progression, helping the disease’s etiology, which is still mostly unknown...
Autores principales: | Hossain, Sk Md Mosaddek, Halsana, Aanzil Akram, Khatun, Lutfunnesa, Ray, Sumanta, Mukhopadhyay, Anirban |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041769/ https://www.ncbi.nlm.nih.gov/pubmed/33846515 http://dx.doi.org/10.1038/s41598-021-87234-7 |
Ejemplares similares
-
A comprehensive analysis on preservation patterns of gene co-expression networks during Alzheimer’s disease progression
por: Ray, Sumanta, et al.
Publicado: (2017) -
Pan-cancer classification by regularized multi-task learning
por: Hossain, Sk Md Mosaddek, et al.
Publicado: (2021) -
Preservation affinity in consensus modules among stages of HIV-1 progression
por: Mosaddek Hossain, Sk Md, et al.
Publicado: (2017) -
DTI-SNNFRA: Drug-target interaction prediction by shared nearest neighbors and fuzzy-rough approximation
por: Islam, Sk Mazharul, et al.
Publicado: (2021) -
Gaussian hierarchical latent Dirichlet allocation: Bringing polysemy back
por: Yoshida, Takahiro, et al.
Publicado: (2023)