Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery

Similarity network fusion for aggregating data types on a genomic scale

(2014) Bo Wang et al.   NATURE METHODS

The Future of Glioblastoma Therapy: Synergism of Standard of Care and Immunotherapy

(2014) Mira Patel et al.   Cancers

Integrative Subtype Discovery in Glioblastoma Using iCluster

(2012) Ronglai Shen et al.   PLoS One

Hallmarks of Cancer: The Next Generation

(2011) Douglas Hanahan et al.   CELL

Identification of a CpG Island Methylator Phenotype that Defines a Distinct Subgroup of Glioma

(2010) Houtan Noushmehr et al.   CANCER CELL

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

Multiple Kernel Learning for Dimensionality Reduction

(2010) Yen-Yu Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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