EDISA: extracting biclusters from multiple time-series of gene expression profiles.
about
MultiFacTV: module detection from higher-order time series biological data.A hierarchical Bayesian model for flexible module discovery in three-way time-series dataTranscriptional signatures of regulatory and toxic responses to benzo-[a]-pyrene exposureTimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes.Extracting expression modules from perturbational gene expression compendia.Maximization of negative correlations in time-course gene expression data for enhancing understanding of molecular pathwaysIdentifying modules of coexpressed transcript units and their organization of Saccharopolyspora erythraea from time series gene expression profiles.Predicting DNA-binding specificities of eukaryotic transcription factorsReverse engineering dynamic temporal models of biological processes and their relationships.Multi-species integrative biclustering.Combinatorial chromatin modification patterns in the human genome revealed by subspace clustering.A New Approach for Mining Order-Preserving Submatrices Based on All Common Subsequences.Virtual pathway explorer (viPEr) and pathway enrichment analysis tool (PEANuT): creating and analyzing focus networks to identify cross-talk between molecules and pathways.Enrichment constrained time-dependent clustering analysis for finding meaningful temporal transcription modules.Integrated inference and analysis of regulatory networks from multi-level measurements.Wigwams: identifying gene modules co-regulated across multiple biological conditions.Discovering Multidimensional Motifs in Physiological Signals for Personalized Healthcare.Comparative microbial modules resource: generation and visualization of multi-species biclusters.An Iterative Time Windowed Signature Algorithm for Time Dependent Transcription Module Discovery.Inferring statin-induced gene regulatory relationships in primary human hepatocytes.
P2860
Q30699825-39C112B9-CC98-4943-A6B7-7D57CD8AC87DQ30971184-62069C73-38B7-4520-985E-FBD1B8612037Q31034446-5B18387E-5066-4F41-BCF3-5C230B4AE8F6Q31155097-D0B464A9-545D-4B4E-AD38-57A9F6C06B8EQ33327570-409792C8-2CFD-4DAF-8826-89E43A2784DFQ33512284-CF0DD279-72E6-4B08-BC73-55ECCAE2FA0AQ33658608-11E00CB2-A660-41CE-8AC9-3AF35AE74D28Q33770247-9F354883-21F3-4886-98DC-6DC3AB033B9EQ34005135-725D982A-664E-4FA0-92A3-E50002BC08DEQ34247616-F76E74A2-28F4-4644-B368-FFE13CB46BE1Q35017822-B63591FE-C9C2-4843-B61D-F74880292516Q35731708-74786ACF-A158-48EB-A016-5FC0AB0D450AQ35807564-50AB1D5B-91A7-45F3-B615-094BE7CDD42FQ37206410-6C434177-2DEB-4F96-8AD3-D57DF1E4DE30Q38000683-3CC20E35-D2A3-4041-9B43-911673281C91Q38534062-38DEB5AF-5B41-49C2-BB74-8EBD20009DEBQ38964701-8627DE9A-7B20-425B-B860-76C56636367BQ39535857-D9DFE910-A23D-43DB-9586-FD0AD6932D19Q42726496-DCD958C5-6EC1-4133-B322-744E3154B4F2Q48123622-848BCD92-7E34-47C4-A825-1DA6374AFC7F
P2860
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
description
2007 nî lūn-bûn
@nan
2007 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
@ast
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
@en
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
@nl
type
label
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
@ast
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
@en
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
@nl
prefLabel
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
@ast
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
@en
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
@nl
P2093
P2860
P356
P1433
P1476
EDISA: extracting biclusters from multiple time-series of gene expression profiles.
@en
P2093
Andreas Zell
Dierk Wanke
Jochen Supper
Klaus Harter
Martin Strauch
P2860
P2888
P356
10.1186/1471-2105-8-334
P577
2007-09-12T00:00:00Z
P5875
P6179
1040128015