Unknown

Dataset Information

0

A model for gene deregulation detection using expression data.

ABSTRACT: In tumoral cells, gene regulation mechanisms are severely altered. Genes that do not react normally to their regulators' activity can provide explanations for the tumoral behavior, and be characteristic of cancer subtypes. We thus propose a statistical methodology to identify the misregulated genes given a reference network and gene expression data.

SUBMITTER: Picchetti T 

PROVIDER: S-EPMC4674863 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

Json Xml
altmetric image

Publications

A model for gene deregulation detection using expression data.

Picchetti Thomas T   Chiquet Julien J   Elati Mohamed M   Neuvial Pierre P   Nicolle Rémy R   Birmelé Etienne E  

BMC systems biology 20151209

In tumoral cells, gene regulation mechanisms are severely altered. Genes that do not react normally to their regulators' activity can provide explanations for the tumoral behavior, and be characteristic of cancer subtypes. We thus propose a statistical methodology to identify the misregulated genes given a reference network and gene expression data. ...[more]

Similar Datasets

Unknown MODEL FREE ESTIMATION OF GRAPHICAL MODEL USING GENE EXPRESSION DATA.
| S-EPMC8341558 | biostudies-literature
Unknown Model of tryptophan metabolism, readily scalable using tissue-specific gene expression data.
| S-EPMC3843069 | biostudies-literature
Unknown Revealing signaling pathway deregulation by using gene expression signatures and regulatory motif analysis.
| S-EPMC1929148 | biostudies-literature
Unknown A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data.
| S-EPMC6686202 | biostudies-literature
Unknown Clustering gene expression time series data using an infinite Gaussian process mixture model.
| S-EPMC5786324 | biostudies-literature
Unknown Whole gene expression profile in blood reveals multiple pathways deregulation in R6/2 mouse model.
| S-EPMC4177605 | biostudies-literature
Unknown Using Class-Specific Feature Selection for Cancer Detection with Gene Expression Profile Data of Platelets.
| S-EPMC7085688 | biostudies-literature
Unknown An integrative model of multi-organ drug-induced toxicity prediction using gene-expression data.
| S-EPMC4290650 | biostudies-literature
Unknown Gene expression analysis using single molecule detection.
| S-EPMC169981 | biostudies-literature
Unknown Predicting proteome dynamics using gene expression data.
| S-EPMC6138643 | biostudies-literature