About: Decomposing gene expression into cellular processes

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rdf:type	Item
description	article (en) wetenschappelijk artikel (nl) наукова стаття, опублікована у 2003 (uk)
publication date	wds:Q62493544-99444155-A654-4F31-AF83-F2E7B12C4828
publication date	2003-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q62493544-7E9F9217-6C36-4501-AFBA-1DDD21F5135F
language of work or name	English
author name string	wds:Q62493544-C6185F6F-B6FA-4521-B615-FE6D12818EF5 wds:Q62493544-CBDAC69E-9E44-4EDF-BCC9-5E6EFBB682B4 wds:Q62493544-E905EF8B-A05F-4304-88AD-DAEB1D06240A
author name string	Koller D Segal E Battle A
rdfs:label	Decomposing gene expression into cellular processes (en) Decomposing gene expression into cellular processes (nl)
skos:prefLabel	Decomposing gene expression into cellular processes (en) Decomposing gene expression into cellular processes (nl)
name	Decomposing gene expression into cellular processes (en) Decomposing gene expression into cellular processes (nl)
title	wds:Q62493544-0FD263AE-8172-4D03-859F-1F207452EE12
title	Decomposing gene expression into cellular processes (en)
page(s)	wds:Q62493544-C56D5881-5A40-40A4-BED4-7A51D6D8981B
page(s)	89-100
instance of	wds:Q62493544-92DA1CA4-4497-4AB9-90AB-DC932DED1E97
instance of	scholarly article
PubMed ID	wds:Q62493544-DF6CAFF0-DFA2-4E13-B94F-099F7C3F9671
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/12603020
PubMed ID	12603020
DOI	wds:Q62493544-06CC2F02-1C88-460C-8CF7-BD897737AE77
DOI	http://dx.doi.org/10.1142/9789812776303_0009
DOI	10.1142/9789812776303_0009
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q62493544
is cites work of	Reverse engineering dynamic temporal models of biological processes and their relationships. Automation of gene assignments to metabolic pathways using high-throughput expression data Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models De novo discovery of mutated driver pathways in cancer Biclustering algorithms for biological data analysis: a survey Bayesian biclustering of gene expression data Multivariate curve resolution of time course microarray data. DENSE: efficient and prior knowledge-driven discovery of phenotype-associated protein functional modules Extracting expression modules from perturbational gene expression compendia Automatic layout and visualization of biclusters Biclustering of linear patterns in gene expression data
is cites work of	wds:Q24817211-AD450B3C-898F-4355-AC74-3331BFC44B9F wds:Q24564096-7B8878A8-6830-4FBA-8641-C9BBC260249D wds:Q31150620-98B18012-1F64-44B4-98AD-53D8A083A738 wds:Q35694415-AF7CB2B1-6A9B-41B7-B5E6-92D1EEBE9D84 wds:Q31067714-C8893885-A317-4346-ACE1-54C77E41D12D wds:Q34005135-44DFEB7B-60E7-4DCA-8DBB-224764EF62E5 wds:Q35596089-A5716A95-03F3-4BD6-A60B-BA760CBE7908 wds:Q33327570-4309DBD7-C621-45BF-A3C6-E0FB227E2E2C wds:Q38878980-F235CF53-F8CD-40E4-8836-A985CAB88D1E wds:Q34303950-7F700E19-E201-4295-B3F5-B3332D7D99D8 wds:Q31048682-99746587-3AC6-4C3D-B849-1EC66B6F436F

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