Integrative pathway-based survival prediction utilizing the interaction between gene expression and DNA methylation in breast cancer

Prediction of years of life after diagnosis of breast cancer using omics and omic-by-treatment interactions

(2017) Agustín González-Reymúndez et al.   EUROPEAN JOURNAL OF HUMAN GENETICS

One-carbon metabolism and nucleotide biosynthesis as attractive targets for anticancer therapy

(2017) Oleg Shuvalov et al.   Oncotarget

Wnt signaling in cancer

(2016) T Zhan et al.   ONCOGENE

Integration of genomic, transcriptomic and proteomic data identifies two biologically distinct subtypes of invasive lobular breast cancer

(2016) Magali Michaut et al.   Scientific Reports

Wnt1 signal determines the patterning of the diencephalic dorso-ventral axis

(2015) Maria Navarro-Garberi et al.   Brain Structure & Function

Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer

(2015) Dokyoon Kim et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Pathway and network analysis of cancer genomes

(2015)   NATURE METHODS

Methods of integrating data to uncover genotype–phenotype interactions

(2015) Marylyn D. Ritchie et al.   NATURE REVIEWS GENETICS

The Promise of Multi-Omics and Clinical Data Integration to Identify and Target Personalized Healthcare Approaches in Autism Spectrum Disorders

(2015) Roger Higdon et al.   OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY

Integrative network analysis for survival-associated gene-gene interactions across multiple genomic profiles in ovarian cancer

(2015) Hyun-hwan Jeong et al.   Journal of Ovarian Research

Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case

(2015) Wei Liu et al.   Scientific Reports

A systems-level integrative framework for genome-wide DNA methylation and gene expression data identifies differential gene expression modules under epigenetic control

(2014) Yinming Jiao et al.   BIOINFORMATICS

A multivariate approach to the integration of multi-omics datasets

(2014) Chen Meng et al.   BMC BIOINFORMATICS

Gene Body Methylation Can Alter Gene Expression and Is a Therapeutic Target in Cancer

(2014) Xiaojing Yang et al.   CANCER CELL

Integration of Genomic Data Enables Selective Discovery of Breast Cancer Drivers

(2014) Félix Sanchez-Garcia et al.   CELL

Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction

(2014) Dokyoon Kim et al.   METHODS

A BRCA1-mutation associated DNA methylation signature in blood cells predicts sporadic breast cancer incidence and survival

(2014) Shahzia Anjum et al.   Genome Medicine

Topologically inferring risk-active pathways toward precise cancer classification by directed random walk

(2013) Wei Liu et al.   BIOINFORMATICS

Role of sphingolipids in oestrogen signalling in breast cancer cells: an update

(2013) O Sukocheva et al.   JOURNAL OF ENDOCRINOLOGY

Using networks to measure similarity between genes: association index selection

(2013) Juan I Fuxman Bass et al.   NATURE METHODS

Identification of ovarian cancer driver genes by using module network integration of multi-omics data

(2013) O. Gevaert et al.   Interface Focus

Abstract 2242: The MAPK and PI3K signaling pathways in breast cancer: Crosstalk mechanisms and the effect on cell proliferation

(2012) Darlene A. Monlish et al.   CANCER RESEARCH

Comprehensive molecular portraits of human breast tumours

(2012) Daniel C. Koboldt et al.   NATURE

Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM

(2010) Charles J. Vaske et al.   BIOINFORMATICS

RNA-Seq gene expression estimation with read mapping uncertainty

(2009) Bo Li et al.   BIOINFORMATICS

Integrating multiple 'omics' analysis for microbial biology: application and methodologies

(2009) W. Zhang et al.   MICROBIOLOGY-SGM

Response to Neoadjuvant Therapy and Long-Term Survival in Patients With Triple-Negative Breast Cancer

(2008) Cornelia Liedtke et al.   JOURNAL OF CLINICAL ONCOLOGY