about
Genomic analyses of early peri-implant bone healing in humans: a systematic reviewMining gene expression data of multiple sclerosisHigh-throughput detection of miRNAs and gene-specific mRNA at the single-cell level by flow cytometryFluxomics - connecting ‘omics analysis and phenotypesModeling miRNA-mRNA interactions: fitting chemical kinetics equations to microarray dataEmerging tools, concepts and ideas to track the modulator genes underlying plant drought adaptive traits: An overviewMaking informed choices about microarray data analysisFinding the right questions: exploratory pathway analysis to enhance biological discovery in large datasets.Transcriptome analysis of amoeboid and ramified microglia isolated from the corpus callosum of rat brain.Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs.Connectedness of PPI network neighborhoods identifies regulatory hub proteins.LifeMap Discovery™: the embryonic development, stem cells, and regenerative medicine research portalDFLAT: functional annotation for human development.An efficient algorithm to explore liquid association on a genome-wide scale.Emergent Transcriptomic Technologies and Their Role in the Discovery of Biomarkers of Liver Transplant Tolerance.Comprehensive Gene expression meta-analysis and integrated bioinformatic approaches reveal shared signatures between thrombosis and myeloproliferative disorders.Statistical methods for identifying differentially expressed genes in RNA-Seq experimentsAdvancing the biobehavioral research of fatigue with genetics and genomics.Application of transcriptomics in Chinese herbal medicine studies.Mammalian cells as biopharmaceutical production hosts in the age of omics.Tailoring the models of transcription.Screening the Molecular Framework Underlying Local Dendritic mRNA Translation.Supervised and Unsupervised Learning Technology in the Study of Rodent Behavior.Effects of paraquat and capsaicin on the expression of genes related to inflammatory, immune responses and cell death in immortalized human HaCat keratinocytes.Gene co-expression analyses: an overview from microarray collections in Arabidopsis thaliana.Transcriptional regulation is insufficient to explain substrate-induced flux changes in Bacillus subtilis.Introducing knowledge into differential expression analysis.Systems biology approach to identify gene network signatures for colorectal cancer.Population FBA predicts metabolic phenotypes in yeast.Metformin inhibits esophageal squamous cell carcinoma-induced angiogenesis by suppressing JAK/STAT3 signaling pathway.The Omics Dashboard for interactive exploration of gene-expression data.Systems Study on the Antirheumatic Mechanism of Tibetan Medicated-Bath Therapy Using Wuwei-Ganlu-Yaoyu-Keli.Sparse Bayesian classification and feature selection for biological expression data with high correlations.A bio-inspired computing model for ovarian carcinoma classification and oncogene detection.Toxicogenomics in Environmental Science.The gene regulatory program of Acrobeloides nanus reveals conservation of phylum-specific expression.Systems Biology Approaches for Compound TestingDevelopments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression dataClinical significance and biological roles of cyclins in gastric cancerAberrantly expressed messenger RNAs and long noncoding RNAs in degenerative nucleus pulposus cells co-cultured with adipose-derived mesenchymal stem cells
P2860
Q28079963-A0454943-8719-4B53-A5E9-6AFE58472FD5Q28388041-F1677921-DCF7-47D1-B762-8E1520D25B01Q28650315-7D58F3E4-216F-420A-A0F7-46FB273976D3Q29307067-BA976FC6-6707-498D-AA28-EFC65FB022FEQ30759466-F5EEE7B1-BA13-4514-8937-0FD8F821FB61Q31029263-C773B0B3-E529-4446-9302-85F3B9DCE119Q33594374-F97F32C2-04EF-4D11-8A0F-93C74802E857Q33687179-B6B42AFF-32FE-4BBB-8C05-43444D6ACD17Q34304022-7F5C2586-A817-4EE6-A912-100CD8DF909CQ34486911-9872DAE9-A649-4239-ACCD-144332ED382CQ34771449-10FBA15F-B66A-4A52-BC78-037D588A5F6FQ34846475-4A3DA542-C721-4A40-B6FF-2BF58B922AD5Q35089024-3D24E70C-12DD-4933-9E05-337FC71B0B0AQ35458030-54C77C3C-C897-4EAD-B960-428456092F32Q35765609-6789871C-4B99-4E0C-8550-F80B2FA17526Q36205153-5A60D722-A954-44DA-A1CB-CFDBBE81B214Q36521519-C5BD8AB6-2019-4A3B-BB18-495180CC553CQ37602663-982CE8F4-C833-4A77-9FF8-D8589B567823Q37618136-FEB46FAC-5A8E-4A46-82B4-28D2433B726BQ37969680-33EBDFAE-57F7-42F8-93DE-DC2F64151344Q38097255-F63C2B45-5CA2-436D-9761-19032212CAF5Q38558121-B3995F30-2C22-43A9-B7DF-2B2FC5CABC48Q38643175-568E1C68-DA18-49CB-862E-EC922F96ADF6Q39415025-A847C9D9-E4A0-4E7B-8BD3-08BADB2BCB90Q39986354-BA06ACE6-1C15-4D6D-909A-B0E04C883D8DQ40093005-76E4E3B3-D3F3-4B8A-813D-92C3A9FF6684Q41811423-A83A5125-FEA8-48C4-996E-2B1593926A67Q42164109-DDCB64CD-00F3-41A4-9DC3-7A69F4C3926FQ42369662-5E541D20-B575-49B5-9B18-26963E8B9435Q43122698-84F5CD37-2E47-419A-B4D1-C6229B6802A6Q47119565-1B53B4ED-19D5-47F4-A620-A3604DD159B4Q47146498-E2278A2B-377C-4FB5-AFE2-58329B9D312AQ47242854-0FA48765-E2A6-4CBF-B36A-CAD5EDEC0703Q47706194-DD5E3431-21BA-41FC-8711-A564A6E6B878Q51248525-B095EF01-06DF-4D60-96EA-FD4C1720307AQ52601673-E1DE0ED5-BCCB-4DAC-838F-FEC7B46FEBF6Q57075201-252C8E07-5E67-43A2-BE50-DBC98C3284B3Q57170624-2BE08E38-5A46-4BDB-AEE9-921183087B13Q57817291-2F15A455-E254-4446-B706-2BB0DBBAFA7FQ58773814-75BC844E-6AE4-42B7-B142-85053F580C1D
P2860
description
2009 nî lūn-bûn
@nan
2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Getting started in gene expression microarray analysis.
@ast
Getting started in gene expression microarray analysis.
@en
Getting started in gene expression microarray analysis.
@nl
type
label
Getting started in gene expression microarray analysis.
@ast
Getting started in gene expression microarray analysis.
@en
Getting started in gene expression microarray analysis.
@nl
prefLabel
Getting started in gene expression microarray analysis.
@ast
Getting started in gene expression microarray analysis.
@en
Getting started in gene expression microarray analysis.
@nl
P2860
P1476
Getting started in gene expression microarray analysis.
@en
P2860
P304
P356
10.1371/JOURNAL.PCBI.1000543
P577
2009-10-01T00:00:00Z
2009-10-30T00:00:00Z