A Bayesian approach to determine the composition of heterogeneous cancer tissue

A Bayesian approach to determine the composition of heterogeneous cancer tissue

Abstract Background Cancer Tissue Heterogeneity is an important consideration in cancer research as it can give insights into the causes and progression of cancer. It is known to play a significant role in cancer cell survival, growth and metastasis. Determining the compositional breakup of a hetero...

Full description

Bibliographic Details
Main Authors: Ashish Katiyar, Anwoy Mohanty, Jianping Hua, Sima Chao, Rosana Lopes, Aniruddha Datta, Michael L. Bittner
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Bioinformatics
Subjects:
Cancer tissue heterogeneity
Bayesian modeling
Metropolis algorithm
Kernel density estimation
Online Access:http://link.springer.com/article/10.1186/s12859-018-2062-0

Internet

http://link.springer.com/article/10.1186/s12859-018-2062-0

Similar Items