Integrative analysis based on survival associated co-expression gene modules for predicting Neuroblastoma patients’ survival time

Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns

(2017) Zhi Han et al.   Biomed Research International

More Is Better: Recent Progress in Multi-Omics Data Integration Methods

(2017) Sijia Huang et al.   Frontiers in Genetics

Methods for the integration of multi-omics data: mathematical aspects

(2016) Matteo Bersanelli et al.   BMC BIOINFORMATICS

A matrix rank based concordance index for evaluating and detecting conditional specific co-expressed gene modules

(2016) Zhi Han et al.   BMC GENOMICS

Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

(2015) Wenqian Zhang et al.   GENOME BIOLOGY

Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent

(2015) Noah Simon et al.   Journal of Statistical Software

High Genomic Instability Predicts Survival in Metastatic High-Risk Neuroblastoma

(2015) Sara Stigliani et al.   NEOPLASIA

Similarity network fusion for aggregating data types on a genomic scale

(2014) Bo Wang et al.   NATURE METHODS

Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability

(2012) Jie Zhang et al.   PLoS Computational Biology

Long-Term Results for Children With High-Risk Neuroblastoma Treated on a Randomized Trial of Myeloablative Therapy Followed by 13-cis-Retinoic Acid: A Children's Oncology Group Study

(2009) Katherine K. Matthay et al.   JOURNAL OF CLINICAL ONCOLOGY

ToppGene Suite for gene list enrichment analysis and candidate gene prioritization

(2009) J. Chen et al.   NUCLEIC ACIDS RESEARCH

WGCNA: an R package for weighted correlation network analysis

(2008) Peter Langfelder et al.   BMC BIOINFORMATICS

High-dose rapid and standard induction chemotherapy for patients aged over 1 year with stage 4 neuroblastoma: a randomised trial

(2008) Andrew DJ Pearson et al.   LANCET ONCOLOGY