scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bioinformatics/WangFTD17 |
P356 | DOI | 10.1093/BIOINFORMATICS/BTX131 |
P698 | PubMed publication ID | 28334366 |
P50 | author | Nelson Tang | Q37839560 |
P2093 | author name string | Minghua Deng | |
Huaying Fang | |||
Zengmiao Wang | |||
P2860 | cites work | Expression and characterization of hypoxia-inducible factor (HIF)-3alpha in human kidney: suppression of HIF-mediated gene expression by HIF-3alpha | Q24291726 |
Molecular mechanisms of transcription activation by HLF and HIF1alpha in response to hypoxia: their stabilization and redox signal-induced interaction with CBP/p300. | Q24534053 | ||
The Reactome pathway knowledgebase | Q24567743 | ||
RNA-Seq: a revolutionary tool for transcriptomics | Q24596169 | ||
Histone acetylation in chromatin structure and transcription | Q28131749 | ||
Levels of hypoxia-inducible factor-1alpha independently predict prognosis in patients with lymph node negative breast carcinoma | Q28181979 | ||
Gene Dosage–Dependent Embryonic Development and Proliferation Defects in Mice Lacking the Transcriptional Integrator p300 | Q28270979 | ||
The human hypoxia-inducible factor 1alpha gene: HIF1A structure and evolutionary conservation | Q28286124 | ||
Prediction of drug-target interactions and drug repositioning via network-based inference | Q28483634 | ||
The transcriptional co-activators CREB-binding protein (CBP) and p300 play a critical role in cardiac hypertrophy that is dependent on their histone acetyltransferase activity | Q28583478 | ||
Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing | Q29547470 | ||
Analysis of variance for gene expression microarray data | Q29618940 | ||
Network deconvolution as a general method to distinguish direct dependencies in networks | Q30352074 | ||
DDGni: dynamic delay gene-network inference from high-temporal data using gapped local alignment. | Q30703235 | ||
SpliceNet: recovering splicing isoform-specific differential gene networks from RNA-Seq data of normal and diseased samples | Q30837003 | ||
A human functional protein interaction network and its application to cancer data analysis | Q33581341 | ||
RNA-seq: from technology to biology | Q33604404 | ||
Renal cancer: oxygen meets metabolism | Q35907065 | ||
Annotating cancer variants and anti-cancer therapeutics in reactome | Q37017116 | ||
Statistical inferences for isoform expression in RNA-Seq | Q37153258 | ||
PennSeq: accurate isoform-specific gene expression quantification in RNA-Seq by modeling non-uniform read distribution | Q37574150 | ||
CUL2 is required for the activity of hypoxia-inducible factor and vasculogenesis | Q38868654 | ||
Conjunction dysfunction: CBP/p300 in human disease. | Q48013074 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | RNA sequencing | Q2542347 |
RNA-Seq | Q68168612 | ||
P577 | publication date | 2017-03-08 | |
P1433 | published in | Bioinformatics | Q4914910 |
P1476 | title | VCNet: Vector based gene Co-expression Network construction and its application to RNA-seq data |
Q96351611 | A network-based computational framework to predict and differentiate functions for gene isoforms using exon-level expression data |
Q50099223 | NetMiner-an ensemble pipeline for building genome-wide and high-quality gene co-expression network using massive-scale RNA-seq samples. |
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