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Transcriptome and proteome research in veterinary science: what is possible and what questions can be asked?Guidelines for the design, analysis and interpretation of 'omics' data: focus on human endometriumThe imprinted Phlda2 gene modulates a major endocrine compartment of the placenta to regulate placental demands for maternal resourcesNormal breast tissue of obese women is enriched for macrophage markers and macrophage-associated gene expressionStRAP: an integrated resource for profiling high-throughput cancer genomic data from stress response studies.How to get the most from microarray data: advice from reverse genomics.Vitamin D and the RNA transcriptome: more than mRNA regulation.Discovery of candidate serum proteomic and metabolomic biomarkers in ankylosing spondylitis.Identification of molecular processes needed for vascular formation through transcriptome analysis of different vascular systems.Conservation and functional influence of alternative splicing in wood formation of Populus and Eucalyptus.Transcriptome study and identification of potential marker genes related to the stable expression of recombinant proteins in CHO clones.Gene expression in the Parkinson's disease brain.Vitamin D receptor and RXR in the post-genomic era.Development of an undergraduate bioinformatics degree program at a liberal arts college.Toward a molecular pathogenic pathway for Yersinia pestis YopM.Individuals with increased inflammatory response to ozone demonstrate muted signaling of immune cell trafficking pathways.A long non-coding RNA signature to improve prognosis prediction of gastric cancer.Modified logistic regression models using gene coexpression and clinical features to predict prostate cancer progression.Deeply dissecting stemness: making sense to non-coding RNAs in stem cells.Functional enrichment analysis with structural variants: pitfalls and strategies.Systems biology approaches to finding novel pain mediators.X-linked dystonia parkinsonism syndrome (XDP, lubag): disease-specific sequence change DSC3 in TAF1/DYT3 affects genes in vesicular transport and dopamine metabolism.Identification of lymph node metastasis-related microRNAs in lung adenocarcinoma and analysis of the underlying mechanisms using a bioinformatics approach.The Author's Response: Bioinformatics Analysis in Downstream Genes of the mTOR Pathway to Predict Recurrence and Progression of Bladder Cancer.Rapid DNA, RNA and protein extraction protocols optimized for slow continuously growing yeast cultures.Development and validation of an immunity-related classifier of nine chemokines for predicting recurrence in stage I-III patients with colorectal cancer after operation
P2860
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P2860
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին 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
Bioinformatics analysis of microarray data.
@ast
Bioinformatics analysis of microarray data.
@en
type
label
Bioinformatics analysis of microarray data.
@ast
Bioinformatics analysis of microarray data.
@en
prefLabel
Bioinformatics analysis of microarray data.
@ast
Bioinformatics analysis of microarray data.
@en
P2093
P1476
Bioinformatics analysis of microarray data.
@en
P2093
Joseph Szustakowski
Martina Schinke
Yunyu Zhang
P304
P356
10.1007/978-1-60761-247-6_15
P407
P577
2009-01-01T00:00:00Z