Cancer Informatics

Inferring stable acquisition durations for applications of perfusion imaging in oncology

Identification of CDKN3 Gene Expression as a Prognostic Biomarker in Lung Adenocarcinoma via Meta-analysis

Multivariate boosting for integrative analysis of high dimensional cancer genomic data

Penalized ordinal regression methods for predicting stage of cancer in high-dimensional covariate spaces

Integrative Analyses of Cancer Data: A Review from a Statistical Perspective

Managing multi-center flow cytometry data for cancer immune monitoring

Identifying molecular features associated with psychoneurological symptoms in women with breast cancer using multivariate mixed models

Prediction of early breast cancer metastasis from DNA microarray data using high-dimensional Cox regression models

Time-Frequency Analysis of Peptide Microarray Data: Application to Brain Cancer Immunosignatures

Recent Enhancements to the genetic risk prediction model BRCAPRO

Evaluating Geographically Weighted Regression Models for Environmental Chemical Risk Analysis

The standardized histograms of T2 Magnetic Resonance Images (MRI) signal intensities of Nephroblastoma does not predict histopathological diagnostic information

Identification of genetic mutations in human lung cancer by targeted sequencing

A Hypothesis Directed Approach to the Targeted Development of a Multiplexed Proteomic Biomarker Assay for Cancer

PathoQC: Computationally efficient read pre-processing and quality control for high throughput sequencing datasets

Assessment of Weighted Quantile Sum Regression for Modeling Chemical Mixtures and Cancer Risk

Generalized monotone incremental forward stagewise method for modeling count data: Application predicting micronuclei frequency

Evaluation of the performance of smoothing functions in generalized additive models for spatial variation in disease

Next Generation Distributed Computing for Cancer Research

Selecting spatial scale of covariates in regression models of environmental exposures