Differential distribution improves gene selection stability and has competitive classification performance for patient survival

ClassifyR: an R package for performance assessment of classification with applications to transcriptomics

(2015) Dario Strbenac et al.   BIOINFORMATICS

Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines

(2014) Liang Li et al.   BMC GENOMICS

Using High-Throughput Transcriptomic Data for Prognosis: A Critical Overview and Perspectives

(2014) Eytan Domany   CANCER RESEARCH

Determination of prognosis in metastatic melanoma through integration of clinico-pathologic, mutation, mRNA, microRNA, and protein information

(2014) Kaushala Jayawardana et al.   INTERNATIONAL JOURNAL OF CANCER

Variation and Genetic Control of Gene Expression in Primary Immunocytes across Inbred Mouse Strains

(2014) Sara Mostafavi et al.   JOURNAL OF IMMUNOLOGY

A Bivariate Model for Simultaneous Testing in Bioinformatics Data

(2014) Haim Y. Bar et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The Prognostic Ease and Difficulty of Invasive Breast Carcinoma

(2014) Ali Tofigh et al.   Cell Reports

Gene Expression Analysis in Ovarian Cancer – Faults and Hints from DNA Microarray Study

(2014) Katarzyna Marta Lisowska et al.   Frontiers in Oncology

Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology

(2013) C. Ferte et al.   CLINICAL CANCER RESEARCH

Impacts of Variation in the Human Genome on Gene Regulation

(2013) Rajini R. Haraksingh et al.   JOURNAL OF MOLECULAR BIOLOGY

A Blood-Based Proteomic Classifier for the Molecular Characterization of Pulmonary Nodules

(2013) X.-j. Li et al.   Science Translational Medicine

MalaCards: an integrated compendium for diseases and their annotation

(2013) Noa Rappaport et al.   Database-The Journal of Biological Databases and Curation

Gene Expression Classification of Colon Cancer into Molecular Subtypes: Characterization, Validation, and Prognostic Value

(2013) Laetitia Marisa et al.   PLOS MEDICINE

Differential variability improves the identification of cancer risk markers in DNA methylation studies profiling precursor cancer lesions

(2012) A. E. Teschendorff et al.   BIOINFORMATICS

Prognostic gene signatures for patient stratification in breast cancer - accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions

(2012) Yupeng Cun et al.   BMC BIOINFORMATICS

Class-imbalanced classifiers for high-dimensional data

(2012) W.-J. Lin et al.   BRIEFINGS IN BIOINFORMATICS

Genetic Variants Contribute to Gene Expression Variability in Humans

(2012) A. M. Hulse et al.   GENETICS

Classification and clustering of sequencing data using a Poisson model

(2011) Daniela M. Witten   Annals of Applied Statistics

Adaptive index models for marker-based risk stratification

(2010) L. Tian et al.   BIOSTATISTICS

An FDA bioinformatics tool for microbial genomics research on molecular characterization of bacterial foodborne pathogens using microarrays

(2010) Hong Fang et al.   BMC BIOINFORMATICS

Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips

(2010) Wei Shi et al.   NUCLEIC ACIDS RESEARCH

Diagnostic classification of schizophrenia by neural network analysis of blood-based gene expression signatures

(2010) Makoto Takahashi et al.   SCHIZOPHRENIA RESEARCH

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

(2009) M. D. Robinson et al.   BIOINFORMATICS

Microarray-based classifiers and prognosis models identify subgroups with distinct clinical outcomes and high risk of AML transformation of myelodysplastic syndrome

(2009) K. I. Mills et al.   BLOOD

Differential variability analysis of gene expression and its application to human diseases

(2008) J. W.K. Ho et al.   BIOINFORMATICS

RNA-Seq: a revolutionary tool for transcriptomics

(2008) Zhong Wang et al.   NATURE REVIEWS GENETICS