about
Big data mining yields novel insights on cancer.Exploring genetic associations with ceRNA regulation in the human genome.SPICi: a fast clustering algorithm for large biological networksMethylPurify: tumor purity deconvolution and differential methylation detection from single tumor DNA methylomesComputational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript DecayNetwork analysis of gene essentiality in functional genomics experiments.Comprehensive analyses of tumor immunity: implications for cancer immunotherapy.CCAT: Combinatorial Code Analysis Tool for transcriptional regulation.Functional interactions between microRNAs and RNA binding proteinsCistrome Cancer: A Web Resource for Integrative Gene Regulation Modeling in Cancer.A major chromatin regulator determines resistance of tumor cells to T cell-mediated killing.Genome-Scale Signatures of Gene Interaction from Compound Screens Predict Clinical Efficacy of Targeted Cancer Therapies.Signatures of T cell dysfunction and exclusion predict cancer immunotherapy responseLandscape of B cell immunity and related immune evasion in human cancersImproved design and analysis of CRISPR knockout screensEstrogen-regulated feedback loop limits the efficacy of estrogen receptor-targeted breast cancer therapyLarge-scale public data reuse to model immunotherapy response and resistanceBig Data Approaches for Modeling Response and Resistance to Cancer Drugs
P50
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P50
description
investigador
@es
researcher
@en
name
Peng Jiang
@en
type
label
Peng Jiang
@en
prefLabel
Peng Jiang
@en
P31
P496
0000-0002-7828-5486