Multi-dimensional data integration algorithm based on random walk with restart

Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer

(2021) Laura Cantini et al.   Nature Communications

Heterogeneous Multi-Layered Network Model for Omics Data Integration and Analysis

(2020) Bohyun Lee et al.   Frontiers in Genetics

Targeted assessment of G0S2 methylation identifies a rapidly recurrent, routinely fatal molecular subtype of adrenocortical carcinoma

(2019) Dipika R. Mohan et al.   CLINICAL CANCER RESEARCH

Random Walk with Restart on Multiplex and Heterogeneous Biological Networks

(2018) Alberto Valdeolivas et al.   BIOINFORMATICS

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

(2018) Jianfang Liu et al.   CELL

Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer

(2018) Katherine A. Hoadley et al.   CELL

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

(2018) Ricard Argelaguet et al.   Molecular Systems Biology

Multi-study Factor Analysis

(2018) Roberta De Vito et al.   BIOMETRICS

Regularized Generalized Canonical Correlation Analysis: A Framework for Sequential Multiblock Component Methods

(2017) Michel Tenenhaus et al.   PSYCHOMETRIKA

Integrative clustering of multi-level ‘omic data based on non-negative matrix factorization algorithm

(2017) Prabhakar Chalise et al.   PLoS One

InterSIM: Simulation tool for multiple integrative ‘omic datasets’

(2016) Prabhakar Chalise et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

ICM: a web server for integrated clustering of multi-dimensional biomedical data

(2016) Song He et al.   NUCLEIC ACIDS RESEARCH

Integrative methods for analyzing big data in precision medicine

(2016) Vladimir Gligorijević et al.   PROTEOMICS

microRNAs as Potential Biomarkers in Adrenocortical Cancer: Progress and Challenges

(2016) Nadia Cherradi   Frontiers in Endocrinology

Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification

(2015) Dingming Wu et al.   BMC GENOMICS

Specific MicroRNAs Differentiate Adrenocortical Adenomas from Carcinomas and Correlate With Weiss Histopathologic System

(2015) Meora Feinmesser et al.   APPLIED IMMUNOHISTOCHEMISTRY & MOLECULAR MORPHOLOGY

Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin

(2014) Katherine A. Hoadley et al.   CELL

Integrated genomic characterization of adrenocortical carcinoma

(2014) Guillaume Assié et al.   NATURE GENETICS

Similarity network fusion for aggregating data types on a genomic scale

(2014) Bo Wang et al.   NATURE METHODS

Navigability of interconnected networks under random failures

(2014) M. De Domenico et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Joint and individual variation explained (JIVE) for integrated analysis of multiple data types

(2013) Eric F. Lock et al.   Annals of Applied Statistics

Sparse integrative clustering of multiple omics data sets

(2013) Ronglai Shen et al.   Annals of Applied Statistics

Serum miR-483-5p and miR-195 are predictive of recurrence risk in adrenocortical cancer patients

(2013) O Chabre et al.   ENDOCRINE-RELATED CANCER

Integrated genomic characterization of endometrial carcinoma

(2013) Gad Getz et al.   NATURE

Pattern discovery and cancer gene identification in integrated cancer genomic data

(2013) Qianxing Mo et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Drug–target interaction prediction by random walk on the heterogeneous network

(2012) Xing Chen et al.   Molecular BioSystems

Comprehensive molecular portraits of human breast tumours

(2012) Daniel C. Koboldt et al.   NATURE

Differential expression of microRNA-675, microRNA-139-3p and microRNA-335 in benign and malignant adrenocortical tumours

(2011) K. J. Schmitz et al.   JOURNAL OF CLINICAL PATHOLOGY

DA DA: Degree-Aware Algorithms for Network-Based Disease Gene Prioritization

(2011) Sinan Erten et al.   BioData Mining

ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking

(2010) Matthew D. Wilkerson et al.   BIOINFORMATICS

Genome-wide inferring gene–phenotype relationship by walking on the heterogeneous network

(2010) Yongjin Li et al.   BIOINFORMATICS

Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1

(2010) Roel G.W. Verhaak et al.   CANCER CELL

Relevance is more significant than correlation: Information filtering on sparse data

(2010) Ming-Sheng Shang et al.   EPL

Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis

(2009) Ronglai Shen et al.   BIOINFORMATICS