Mechanistic models of signaling pathways reveal the drug action mechanisms behind gender-specific gene expression for cancer treatments

C Çubuk, FE Can, M Peña-Chilet, J Dopazo - Cells, 2020 - mdpi.com
Despite the existence of differences in gene expression across numerous genes between
males and females having been known for a long time, these have been mostly ignored in …

Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data

Q Li, A Cassese, M Guindani, M Vannucci - Biometrics, 2019 - academic.oup.com
In this article, we develop a Bayesian hierarchical mixture regression model for studying the
association between a multivariate response, measured as counts on a set of features, and …

Modeling functional modules using statistical and machine learning methods

C Çubuk - 2020 - qmro.qmul.ac.uk
Understanding the aspects of the cell functionality that account for disease or drug action
mechanisms is the main challenge for precision medicine. In spite of the increasing …

Learning from genomic data: efficient representations and algorithms.

M Le Morvan - 2018 - pastel.hal.science
Since the first sequencing of the human genome in the early 2000s, large endeavours have
set out to map the genetic variability among individuals, or DNA alterations in cancer cells …

[引用][C] Learning from genomic data: efficient representations and algorithms.