A supervised learning approach to the unsupervised clustering of genes. - Andrew K. Rider; Geoffrey Siwo; Scott J. Emrich; Michael T. Ferdig; Nitesh V. Chawla (BIBM, 2010)

A statistical approach to finding overlooked genetic associations. - Andrew K. Rider; Geoffrey Siwo; Nitesh V. Chawla; Michael T. Ferdig; Scott J. Emrich (BMC Bioinform., 2010)

ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain. - Reid A. Johnson; Yang Yang 008; Everaldo Aguiar; Andrew K. Rider; Nitesh V. Chawla (PAKDD Workshops, 2012)

An Ensemble Topic Model for Sharing Healthcare Data and Predicting Disease Risk. - Andrew K. Rider; Nitesh V. Chawla (BCB, 2013)

Classifier Evaluation with Missing Negative Class Labels. - Andrew K. Rider; Reid A. Johnson; Darcy A. Davis; T. Ryan Hoens; Nitesh V. Chawla (IDA, 2013)

A supervised learning approach to the ensemble clustering of genes. - Andrew K. Rider; Geoffrey Siwo; Scott J. Emrich; Michael T. Ferdig; Nitesh V. Chawla (Int. J. Data Min. Bioinform., 2014)

Networks' characteristics are important for systems biology. - Andrew K. Rider; Tijana Milenkovic; Geoffrey H. Siwo; Richard S. Pinapati (Netw. Sci., 2014)

Prediction of fine-tuned promoter activity from DNA sequence. - Geoffrey Siwo; Andrew K. Rider; Asako Tan; Richard S. Pinapati; Scott J. Emrich; Nitesh V. Chawla; Michael T. Ferdig (F1000Research, 2016)