Machine Learning and Feature Selection for the Classification of Mental Disorders from Methylation Data. - Christopher L. Bartlett; Stephen J. Glatt; Isabelle Bichindaritz (AIME, 2019)

Constructing prototypes for classification using epigenetic and genetic analysis. - Christopher L. Bartlett (ICCBR Workshops, 2019)

Case-based Reasoning for the Analysis of Methylation Data in Oncology. - Christopher L. Bartlett; Isabelle Bichindaritz (ICCBR Workshops, 2019)

Case-Based Reasoning for the Analysis of Methylation Data in Oncology. - Christopher L. Bartlett; Guanghui Liu 004; Isabelle Bichindaritz (FLAIRS, 2020)

Survival Prediction of Breast Cancer Patient from Gene Methylation Data with Deep LSTM Network and Ordinal Cox Model. - Isabelle Bichindaritz; Guanghui Liu 004; Christopher L. Bartlett (FLAIRS, 2020)

Classifying Breast Cancer Tissue Through DNA Methylation and Clinical Covariate Based Retrieval. - Christopher L. Bartlett; Guanghui Liu 003; Isabelle Bichindaritz (ICCBR, 2020)

Survival Analysis of Breast Cancer Utilizing Integrated Features with Ordinal Cox Model and Auxiliary Loss. - Isabelle Bichindaritz; Guanghui Liu 004; Christopher L. Bartlett (ICDM, 2020)

Predicting with Confidence: A Case-Based Reasoning Framework for Predicting Survival in Breast Cancer. - Isabelle Bichindaritz; Christopher L. Bartlett; Guanghui Liu 003 (FLAIRS, 2021)

Integrative survival analysis of breast cancer with gene expression and DNA methylation data. - Isabelle Bichindaritz; Guanghui Liu 003; Christopher L. Bartlett (Bioinform., 2021)