CLICK and EXPANDER: a system for clustering and visualizing gene expression data.
about
Evaluation of gene-expression clustering via mutual information distance measureOn the selection of appropriate distances for gene expression data clusteringAnkrd2 is a modulator of NF-κB-mediated inflammatory responses during muscle differentiationThe DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene listsVisualization methods for statistical analysis of microarray clusters.Dissection of a DNA-damage-induced transcriptional network using a combination of microarrays, RNA interference and computational promoter analysisEXPANDER--an integrative program suite for microarray data analysisGenClust: a genetic algorithm for clustering gene expression data.Grouping annotations on the subcellular layered interactome demonstrates enhanced autophagy activity in a recurrent experimental autoimmune uveitis T cell lineAn initial blueprint for myogenic differentiationPrenatal arsenic exposure alters gene expression in the adult liver to a proinflammatory state contributing to accelerated atherosclerosisProteomic analysis of a eukaryotic ciliumTNF-insulin crosstalk at the transcription factor GATA6 is revealed by a model that links signaling and transcriptomic data tensors.Miniaturization Technologies for Efficient Single-Cell Library Preparation for Next-Generation Sequencing.Promoting Precision Cancer Medicine through a Community-Driven Knowledgebase.A system biology approach highlights a hormonal enhancer effect on regulation of genes in a nitrate responsive "biomodule".Clustering gene expression data based on predicted differential effects of GV interaction.Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method.Nearest Neighbor Networks: clustering expression data based on gene neighborhoods.Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes.Bayesian biclustering of gene expression dataRETINOBASE: a web database, data mining and analysis platform for gene expression data on retinaGenome holography: deciphering function-form motifs from gene expression data.Transcriptional profiling of mesenchymal stromal cells from young and old rats in response to Dexamethasone.Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes.NIFTI: an evolutionary approach for finding number of clusters in microarray dataSimultaneous class discovery and classification of microarray data using spectral analysisBiGGEsTS: integrated environment for biclustering analysis of time series gene expression dataLarge-scale analysis of Arabidopsis transcription reveals a basal co-regulation networkModeling co-expression across species for complex traits: insights to the difference of human and mouse embryonic stem cellsComputational design and application of endogenous promoters for transcriptionally targeted gene therapy for rheumatoid arthritisDiscovering cooperative relationships of chromatin modifications in human T cells based on a proposed closeness measureExpression variability of co-regulated genes differentiates Saccharomyces cerevisiae strains.An integrative approach to inferring biologically meaningful gene modules.Pollution-affected fish hepatic transcriptome and its expression patterns on exposure to cadmium.Expander: from expression microarrays to networks and functions.A bi-ordering approach to linking gene expression with clinical annotations in gastric cancerComprehensive evaluation of matrix factorization methods for the analysis of DNA microarray gene expression data.Unsupervised analysis of classical biomedical markers: robustness and medical relevance of patient clustering using bioinformatics toolsProtocadherin-18 is a novel differentiation marker and an inhibitory signaling receptor for CD8+ effector memory T cells.
P2860
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P2860
CLICK and EXPANDER: a system for clustering and visualizing gene expression data.
description
2003 nî lūn-bûn
@nan
2003 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի սեպտեմբերին 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
CLICK and EXPANDER: a system for clustering and visualizing gene expression data.
@ast
CLICK and EXPANDER: a system for clustering and visualizing gene expression data.
@en
type
label
CLICK and EXPANDER: a system for clustering and visualizing gene expression data.
@ast
CLICK and EXPANDER: a system for clustering and visualizing gene expression data.
@en
prefLabel
CLICK and EXPANDER: a system for clustering and visualizing gene expression data.
@ast
CLICK and EXPANDER: a system for clustering and visualizing gene expression data.
@en
P356
P1433
P1476
CLICK and EXPANDER: a system for clustering and visualizing gene expression data.
@en
P2093
Adi Maron-Katz
Ron Shamir
P304
P356
10.1093/BIOINFORMATICS/BTG232
P407
P50
P577
2003-09-01T00:00:00Z