Integration of molecular features with clinical information for predicting outcomes for neuroblastoma patients

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

(2019) Yatong Han et al.   Biology Direct

Neuroblastoma

(2018) Akira Nakagawara et al.   JAPANESE JOURNAL OF CLINICAL ONCOLOGY

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

(2017) Zhi Han et al.   Biomed Research International

Research progress of neuroblastoma related gene variations

(2016) Yanna Cao et al.   Oncotarget

Breast cancer patient stratification using a molecular regularized consensus clustering method

(2014) Chao Wang et al.   METHODS

Similarity network fusion for aggregating data types on a genomic scale

(2014) Bo Wang et al.   NATURE METHODS

Integrated morphologic analysis for the identification and characterization of disease subtypes

(2012) Lee A D Cooper et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

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

(2012) Jie Zhang et al.   PLoS Computational Biology

Targeted BIRC5 silencing using YM155 causes cell death in neuroblastoma cells with low ABCB1 expression

(2011) Fieke Lamers et al.   EUROPEAN JOURNAL OF CANCER

Bayesian cluster ensembles

(2011) Hongjun Wang et al.   Statistical Analysis and Data Mining

Discovering transcriptional modules by Bayesian data integration

(2010) Richard S. Savage et al.   BIOINFORMATICS

WGCNA: an R package for weighted correlation network analysis

(2008) Peter Langfelder et al.   BMC BIOINFORMATICS

Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

(2008) Da Wei Huang et al.   NUCLEIC ACIDS RESEARCH