The difficult interpretation of transcriptome data: the case of the GATC regulatory network

DOI10.1016/J.COMPBIOLCHEM.2003.12.004zbMATH Open1088.92025OpenAlexW2162878218WikidataQ30928957 ScholiaQ30928957MaRDI QIDQ2490579

Tony Chevalier, Alessandra Riva, Marie-Odile Delorme, Alain Hénaut, Nicolas Guilhot, Corinne Hénaut

Publication date: 16 May 2006

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2003.12.004

zbMATH Keywords

StatisticsComparative genomicsFnrGATCTranscriptome analysis

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Related Items (2)

Transcriptomic heterogeneity in cancer as a consequence of dysregulation of the gene-gene interaction network ⋮ Comments on selected fundamental aspects of microarray analysis

Recommendations

• Title not available (Why is that?) 👍 👎
• Identification of regulatory network motifs from gene expression data 👍 👎
• Decoding transcriptional regulatory interactions 👍 👎
• Transcriptomic heterogeneity in cancer as a consequence of dysregulation of the gene-gene interaction network 👍 👎
• Structure of regulatory networks and diversity of gene expression patterns 👍 👎
• Identifying gene regulatory networks from experimental data 👍 👎

This page was built for publication: The difficult interpretation of transcriptome data: the case of the GATC regulatory network

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q2490579)