A novel framework for horizontal and vertical data integration in cancer studies with application to survival time prediction models

Multi-omics integration for neuroblastoma clinical endpoint prediction

(2018) Margherita Francescatto et al.   Biology Direct

Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach

(2018) Léon-Charles Tranchevent et al.   Biology Direct

Ensembl 2018

(2017) Daniel R Zerbino et al.   NUCLEIC ACIDS RESEARCH

Linked data schemata: Fixing unsound foundations

(2017) Kevin Chekov Feeney et al.   Semantic Web

Prognostic value of cross-omics screening for kidney clear cell renal cancer survival

(2016) Slavica Dimitrieva et al.   Biology Direct

UniProt: the universal protein knowledgebase

(2016)   NUCLEIC ACIDS RESEARCH

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

(2015) Wenqian Zhang et al.   GENOME BIOLOGY

Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry

(2014) Sunil Gupta et al.   BMJ Open

Systematic Analysis of Challenge-Driven Improvements in Molecular Prognostic Models for Breast Cancer

(2013) A. A. Margolin et al.   Science Translational Medicine

Bioinformatics clouds for big data manipulation

(2012) Lin Dai et al.   Biology Direct

Bigtable

(2008) Fay Chang et al.   ACM TRANSACTIONS ON COMPUTER SYSTEMS