Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA. - Wikidata - awgldk - TriplyDB

Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA.

Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA.

http://www.wikidata.org/entity/Q35221326

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The Association between Gene-Environment Interactions and Diseases Involving the Human GST Superfamily with SNP Variants Discovering MicroRNA-Regulatory Modules in Multi-Dimensional Cancer Genomic Data: A Survey of Computational Methods The impact of the Cancer Genome Atlas on lung cancer.CrossHub: a tool for multi-way analysis of The Cancer Genome Atlas (TCGA) in the context of gene expression regulation mechanisms Comprehensive evaluation of published gene expression prognostic signatures for biomarker-based lung cancer clinical studies.A pan-cancer analysis of prognostic genes.Kernel methods for large-scale genomic data analysis.Integration of pathway structure information into a reweighted partial Cox regression approach for survival analysis on high-dimensional gene expression data.Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.Integration and comparison of different genomic data for outcome prediction in cancer.Integrated analysis of multidimensional omics data on cutaneous melanoma prognosis.Emerging treatment strategies for glioblastoma multiforme Identification of Subtype-Specific Prognostic Genes for Early-Stage Lung Adenocarcinoma and Squamous Cell Carcinoma Patients Using an Embedded Feature Selection Algorithm.microRNA-206 impairs c-Myc-driven cancer in a synthetic lethal manner by directly inhibiting MAP3K13.Integrating multidimensional omics data for cancer outcome.Molecular Predictors of Long-Term Survival in Glioblastoma Multiforme Patients.Measures for the degree of overlap of gene signatures and applications to TCGA.A Data Fusion Approach to Enhance Association Study in Epilepsy.Integrating multiple omics data for the discovery of potential Beclin-1 interactions in breast cancer.IPF-LASSO: Integrative L1-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data.Integrin and gene network analysis reveals that ITGA5 and ITGB1 are prognostic in non-small-cell lung cancer Proteomics analysis to reveal biological pathways and predictive proteins in the survival of high-grade serous ovarian cancer Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies.A prognostic 4-lncRNA expression signature for lung squamous cell carcinoma.Prediction With Dimension Reduction of Multiple Molecular Data Sources for Patient Survival.The Spike-and-Slab Lasso Cox Model for Survival Prediction and Associated Genes Detection.Massive parallel sequencing of solid tumours - challenges and opportunities for pathologists.Pathway-Structured Predictive Model for Cancer Survival Prediction: A Two-Stage Approach.The Spike-and-Slab Lasso Generalized Linear Models for Prediction and Associated Genes Detection.A network medicine approach to build a comprehensive atlas for the prognosis of human cancer.Multiblock discriminant analysis for integrative genomic study.B-CAN: a resource sharing platform to improve the operation, visualization and integrated analysis of TCGA breast cancer data.Group Spike-and-Slab Lasso Generalized Linear Models for Disease Prediction and Associated Genes Detection by Incorporating Pathway Information.Analysis of cancer gene expression data with an assisted robust marker identification approach.Identification of subtype-specific prognostic signatures using Cox models with redundant gene elimination.Data integration by multi-tuning parameter elastic net regression Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction Whole-Genome Multi-omic Study of Survival in Patients with Glioblastoma Multiforme Classification based on extensions of LS-PLS using logistic regression: application to clinical and multiple genomic data

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Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA.

http://www.wikidata.org/entity/Q35221326

description

2014 nî lūn-bûn

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2014 թուականի Մարտին հրատարակուած գիտական յօդուած

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2014 թվականի մարտին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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Combining multidimensional gen ...... nosis: observations from TCGA.

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Combining multidimensional gen ...... nosis: observations from TCGA.

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Combining multidimensional gen ...... nosis: observations from TCGA.

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Combining multidimensional gen ...... nosis: observations from TCGA.

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Briefings in Bioinformatics

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Combining multidimensional gen ...... nosis: observations from TCGA.

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BenChang Shia

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Qing Zhao

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Shuangge Ma

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Xingjie Shi

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Yang Xie

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P2860

Differential expression analysis for sequence count data

Comprehensive molecular portraits of human breast tumours

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

Comprehensive genomic characterization of squamous cell lung cancers.

THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL

Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia.

Integrated analysis of DNA copy number and gene expression microarray data using gene sets

Integrative analysis of DNA copy number and gene expression in metastatic oral squamous cell carcinoma identifies genes associated with poor survival

Synergistic effect of different levels of genomic data for cancer clinical outcome prediction.

A predictive framework for integrating disparate genomic data types using sample-specific gene set enrichment analysis and multi-task learning

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10.1093/BIB/BBU003

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2

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