Venn Mapping: clustering of heterologous microarray data based on the number of co-occurring differentially expressed genes.
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Iterative Group Analysis (iGA): a simple tool to enhance sensitivity and facilitate interpretation of microarray experimentsGene expression signature of estrogen receptor alpha status in breast cancerCoPub Mapper: mining MEDLINE based on search term co-publicationStoring, linking, and mining microarray databases using SRSL2L: a simple tool for discovering the hidden significance in microarray expression dataVector analysis as a fast and easy method to compare gene expression responses between different experimental backgroundsTranscriptional changes induced by the tumor dormancy-associated microRNA-190New insights into BaP-induced toxicity: role of major metabolites in transcriptomics and contribution to hepatocarcinogenesisComparative analysis of microarray data identifies common responses to caloric restriction among mouse tissuesGene expression profiling of long-lived dwarf mice: longevity-associated genes and relationships with diet, gender and aging.Key issues in conducting a meta-analysis of gene expression microarray datasets.Transcriptomic signature of bexarotene (rexinoid LGD1069) on mammary gland from three transgenic mouse mammary cancer models.Integrative meta-analysis of differential gene expression in acute myeloid leukemiaAsymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types.Identification of potential caloric restriction mimetics by microarray profiling.Identification of modulated genes by three classes of chemopreventive agents at preneoplastic stages in a p53-null mouse mammary tumor modelTranscriptional profiling of the Arabidopsis abscission mutant hae hsl2 by RNA-SeqRunx3-mediated transcriptional program in cytotoxic lymphocytes.The cancer gene WWOX behaves as an inhibitor of SMAD3 transcriptional activity via direct bindingExpression signatures of the lipid-based Akt inhibitors phosphatidylinositol ether lipid analogues in NSCLC cellsA meta analysis of pancreatic microarray datasets yields new targets as cancer genes and biomarkers.Analyses of the role of endogenous SPARC in mouse models of prostate and breast cancer.Differential effects of class I isoform histone deacetylase depletion and enzymatic inhibition by belinostat or valproic acid in HeLa cells.A 380-gene meta-signature of active tuberculosis compared with healthy controlsIdentification of signaling pathways modulated by RHBDD2 in breast cancer cells: a link to the unfolded protein response.Stromal expression of SPARC in pancreatic adenocarcinoma.Identification of genes highly downregulated in pancreatic cancer through a meta-analysis of microarray datasets: implications for discovery of novel tumor-suppressor genes and therapeutic targets.Similarities of ordered gene lists.Effects of restricted feeding on daily fluctuations of hepatic functions including p450 monooxygenase activities in rats.Chitin receptor CERK1 links salt stress and chitin-triggered innate immunity in Arabidopsis.Protein phosphorylation profiling identifies potential mechanisms for direct immunotoxicity.Small non-coding RNA landscape is modified by GPAT2 silencing in MDA-MB-231 cells.A common molecular signature of patients with sickle cell disease revealed by microarray meta-analysis and a genome-wide association study
P2860
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P2860
Venn Mapping: clustering of heterologous microarray data based on the number of co-occurring differentially expressed genes.
description
2003 nî lūn-bûn
@nan
2003 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի նոյեմբերին 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
Venn Mapping: clustering of he ...... ifferentially expressed genes.
@ast
Venn Mapping: clustering of he ...... ifferentially expressed genes.
@en
type
label
Venn Mapping: clustering of he ...... ifferentially expressed genes.
@ast
Venn Mapping: clustering of he ...... ifferentially expressed genes.
@en
prefLabel
Venn Mapping: clustering of he ...... ifferentially expressed genes.
@ast
Venn Mapping: clustering of he ...... ifferentially expressed genes.
@en
P2093
P356
P1433
P1476
Venn Mapping: clustering of he ...... ifferentially expressed genes.
@en
P2093
Guido Jenster
Lambert C J Dorssers
Marcel Smid
P304
P356
10.1093/BIOINFORMATICS/BTG282
P407
P577
2003-11-01T00:00:00Z