Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence.
about
Interpreting personal transcriptomes: personalized mechanism-scale profiling of RNA-seq dataIntegration of breast cancer gene signatures based on graph centralityA systems biology approach to the global analysis of transcription factors in colorectal cancer.'N-of-1-pathways' unveils personal deregulated mechanisms from a single pair of RNA-Seq samples: towards precision medicine.Detecting recurrent gene mutation in interaction network context using multi-scale graph diffusion.Integrative bioinformatics analysis of genomic and proteomic approaches to understand the transcriptional regulatory program in coronary artery disease pathways.Curation-free biomodules mechanisms in prostate cancer predict recurrent disease.COPD Hospitalization Risk Increased with Distinct Patterns of Multiple Systems Comorbidities Unveiled by Network Modeling.Translating Mendelian and complex inheritance of Alzheimer's disease genes for predicting unique personal genome variantsGene expression in rat models for inter-generational transmission of islet dysfunction and obesity.Computational Reconstruction of NFκB Pathway Interaction Mechanisms during Prostate Cancer.A network-based gene expression signature informs prognosis and treatment for colorectal cancer patients.Defining a comprehensive verotype using electronic health records for personalized medicine.Diagnostic and prognostic molecular biomarkers for prostate cancer.Computational approaches for the identification of cancer genes and pathwaysMulti-Leu PACE4 Inhibitor Retention within Cells Is PACE4 Dependent and a Prerequisite for Antiproliferative Activity.Rectifying cancer drug discovery through network pharmacology.Advantages of genomic complexity: bioinformatics opportunities in microRNA cancer signatures.Deregulation of a Hox protein regulatory network spanning prostate cancer initiation and progression.Computationally translating molecular discoveries into tools for medicine: translational bioinformatics articles now featured in JAMIA.Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes.
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P2860
Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Protein-network modeling of pr ...... athways in disease recurrence.
@ast
Protein-network modeling of pr ...... athways in disease recurrence.
@en
type
label
Protein-network modeling of pr ...... athways in disease recurrence.
@ast
Protein-network modeling of pr ...... athways in disease recurrence.
@en
prefLabel
Protein-network modeling of pr ...... athways in disease recurrence.
@ast
Protein-network modeling of pr ...... athways in disease recurrence.
@en
P2093
P2860
P1476
Protein-network modeling of pr ...... pathways in disease recurrence
@en
P2093
James L Chen
Jianrong Li
Walter M Stadler
P2860
P304
P356
10.1136/AMIAJNL-2011-000178
P577
2011-07-01T00:00:00Z