Iterative signature algorithm for the analysis of large-scale gene expression data.
about
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networksSimilarities and differences in genome-wide expression data of six organismsComparative gene expression analysis by differential clustering approach: application to the Candida albicans transcription programConstructing gene co-expression networks and predicting functions of unknown genes by random matrix theoryMining gene expression data by interpreting principal components.Systems toxicology of chemically induced liver and kidney injuries: histopathology-associated gene co-expression modulesUsing transcription modules to identify expression clusters perturbed in Williams-Beuren syndromeCharacterization of chemically induced liver injuries using gene co-expression modulesContext Specific and Differential Gene Co-expression Networks via Bayesian BiclusteringInferring the relation between transcriptional and posttranscriptional regulation from expression compendiaEuroDia: a beta-cell gene expression resourceMining kidney toxicogenomic data by using gene co-expression modulesA novel biclustering approach with iterative optimization to analyze gene expression data.Configurable pattern-based evolutionary biclustering of gene expression data.Bi-Force: large-scale bicluster editing and its application to gene expression data biclustering.Interactive knowledge discovery and data mining on genomic expression data with numeric formal concept analysis.A hierarchical Bayesian model for flexible module discovery in three-way time-series dataFinding regulatory modules through large-scale gene-expression data analysis.A classification based framework for quantitative description of large-scale microarray data.Multivariate curve resolution of time course microarray data.UniBic: Sequential row-based biclustering algorithm for analysis of gene expression data.A general framework for biclustering gene expression data.Evaluation of Plaid Models in Biclustering of Gene Expression Data.Subdimension-based similarity measure for DNA microarray data clustering.Low Dimensionality in Gene Expression Data Enables the Accurate Extraction of Transcriptional Programs from Shallow Sequencing.CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining.Application of dynamic topic models to toxicogenomics dataBayesian biclustering of gene expression dataA modular approach for integrative analysis of large-scale gene-expression and drug-response data.Unraveling condition specific gene transcriptional regulatory networks in Saccharomyces cerevisiaeStrategy of transcription regulation in the budding yeast.EDISA: extracting biclusters from multiple time-series of gene expression profiles.A semi-supervised method for predicting transcription factor-gene interactions in Escherichia coli.Extracting expression modules from perturbational gene expression compendia.A comparison of four clustering methods for brain expression microarray dataMeta Analysis of Gene Expression Data within and Across Species.DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical modelsRobust inference of the context specific structure and temporal dynamics of gene regulatory networkBiclustering of gene expression data by correlation-based scatter search.Query-based biclustering of gene expression data using Probabilistic Relational Models.
P2860
Q21284254-22AC5E8A-EBB1-4966-BFBB-A70658E84B63Q24800747-4AA46ACD-BB6B-4349-AA7A-D28432077A98Q24810484-31794238-AE13-44F0-B11F-6F0FE1D96602Q27496517-C8EC627F-3973-4DB9-B32B-1BF4ECFEEC51Q28196398-3E761C61-E55A-4F5B-92C8-21023BA41B1CQ28391629-9CA1C85A-D4AA-4C34-BD0B-F90CE948804AQ28476782-BB8DF3F5-5DDA-4F9F-8A94-72CBC6D0A365Q28543001-2E5AFB8B-5955-4644-BD4C-CFDC77467323Q28553187-0168E931-ADDF-405B-B670-C6C3357E6A96Q28658016-7118822B-7E35-4545-8D98-A239FBE0DDBBQ28748737-C551AF58-DB7D-47D6-8487-025055994606Q28822270-EA3CE56F-D54D-4DFE-90F0-2D3A9326E065Q30572998-A167FF84-9403-47CB-8CDF-562E442653FFQ30592779-FFDAAF0D-218D-4131-A34C-4F050383A793Q30789089-7B7D04E0-4759-4462-A993-B88CAB0755BCQ30811533-88FBD777-2506-4859-A0D2-30D7EC3BB5A9Q30971184-9977BFF2-5BA9-45DB-9CF4-5C69188E7125Q30974274-9B44C43F-84CA-4668-9910-EBA756741C7EQ31037143-DA0133C0-AFFC-44A2-ABC7-6886BEAD0B78Q31048682-804F0E97-8356-4AEC-B866-8327248E1DC3Q31061487-2110B605-E1EA-4F20-A429-9AC984946F28Q31062938-30B8C4B2-B57F-4312-B261-817628F029B0Q31070231-02A90141-5840-489C-9F4A-806A8B9D8D35Q31083637-10D56B76-9177-421E-8077-0ACD91A6F419Q31089031-6C063E22-F49A-4840-9160-11F288A5CFF5Q31133365-2A1F9C0A-346E-49AC-88E8-A103901B8B6FQ31138232-C920078E-AF98-4632-812F-40EA664F6636Q31150620-20F7ED2F-CBBA-49D9-AF6F-E48D51F0739CQ31154751-74B98649-333B-4126-B2CE-CAEA64DF5D15Q33237187-DC3FEA4D-FC12-4B6B-B357-685FB0BF56F2Q33275962-8F0D3AB1-87D3-4EE3-B44B-D0E573E3D94FQ33298681-FAD99B1B-3DB7-4132-9E16-F546AE2263C2Q33325896-75B8D48F-40B2-4921-BEA4-B99E8659204AQ33327570-009B459A-2813-458E-9D7C-02B015251159Q33387023-4C253033-A009-40B3-A9EA-7F5B264FCA3DQ33466039-7B18EE58-C5EB-4449-A751-812E0C851B82Q33737739-12E2C6DE-ACF1-4BB9-85D3-F4EE71FD8979Q33766577-A1FBEC43-8AAE-4DA3-8CEF-A140A5140986Q33801732-62B148CF-811C-4954-98DE-D6738F165645Q33827008-1571A32B-3DA7-4112-8B59-018757665798
P2860
Iterative signature algorithm for the analysis of large-scale gene expression data.
description
2003 nî lūn-bûn
@nan
2003 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի մարտին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Iterative signature algorithm for the analysis of large-scale gene expression data.
@ast
Iterative signature algorithm for the analysis of large-scale gene expression data.
@en
type
label
Iterative signature algorithm for the analysis of large-scale gene expression data.
@ast
Iterative signature algorithm for the analysis of large-scale gene expression data.
@en
prefLabel
Iterative signature algorithm for the analysis of large-scale gene expression data.
@ast
Iterative signature algorithm for the analysis of large-scale gene expression data.
@en
P2860
P1433
P1476
Iterative signature algorithm for the analysis of large-scale gene expression data.
@en
P2093
Jan Ihmels
Naama Barkai
P2860
P304
P356
10.1103/PHYSREVE.67.031902
P407
P433
P577
2003-03-11T00:00:00Z
P698
P818
physics/0210038