Functional Heatmap: an automated and interactive pattern recognition tool to integrate time with multi-omics assays-Reference-Cited by-同舟云学术

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Functional Heatmap: an automated and interactive pattern recognition tool to integrate time with multi-omics assays

Published:2019-02-15 Issue:1 Volume:20 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Williams Joshua R.,Yang Ruoting^ORCID,Clifford John L.,Watson Daniel,Campbell Ross,Getnet Derese,Kumar Raina,Hammamieh Rasha,Jett Marti

Funder

Medical Research and Materiel Command

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-019-2657-0.pdf

Reference16 articles.

1. Bar-Joseph Z, Gitter A, Simon I. Studying and modelling dynamic biological processes using time-series gene expression data. Nat Rev Genet. 2012;13(8):552.

2. Eisen MB, Spellman PT, Brown PO, Botstein D. Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci. 1998;95(25):14863–8.

3. Sinha A, Markatou M. A platform for processing expression of short time series (PESTS). BMC Bioinformatics. 2011;12(1):13.

4. Gonçalves JP, Madeira SC, Oliveira AL. BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data. BMC Res Notes. 2009;2(1):124.

5. Ramoni MF, Sebastiani P, Kohane IS. Cluster analysis of gene expression dynamics. Proc Natl Acad Sci. 2002;99(14):9121–6.

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