Causal inference and prior integration in bioinformatics using information theory

Causal inference and prior integration in bioinformatics using information theory

An important problem in bioinformatics is the reconstruction of gene regulatory networks from expression data. The analysis of genomic data stemming from high- throughput technologies such as microarray experiments or RNA-sequencing faces several difficulties. The first major issue is the high varia...

Full description

Bibliographic Details
Main Author: Olsen, Catharina
Other Authors: Bontempi, Gianluca
Format: Doctoral Thesis
Language:fr
Published: Universite Libre de Bruxelles 2013
Subjects:
Informatique générale
Sciences exactes et naturelles
Colon (Anatomy) > Cancer
Bioinformatics
Information theory
Cancer colorectal
Bio-informatique
Théorie de l'information
bioinformatics
prior integration
causal inference
machine learning
Online Access:http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209401

Internet

http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209401

Similar Items