A Novel Model to Combine Clinical and Pathway-Based Transcriptomic Information for the Prognosis Prediction of Breast Cancer. - Sijia Huang; Cameron Yee; Travers Ching; Herbert Yu; Lana X. Garmire (PLoS Comput. Biol., 2014)

Non-coding yet non-trivial: a review on the computational genomics of lincRNAs. - Travers Ching; Jayson Masaki; Jason Weirather; Lana X. Garmire (BioData Min., 2015)

Using epigenomics data to predict gene expression in lung cancer. - Jeffery Li; Travers Ching; Sijia Huang; Lana X. Garmire (BMC Bioinform., 2015)

Pan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA. - Travers Ching; Lana X. Garmire (PSB, 2018)

Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data. - Travers Ching; Xun Zhu; Lana X. Garmire (PLoS Comput. Biol., 2018)

RcppMsgPack: MessagePack Headers and Interface Functions for R. - Travers Ching; Dirk Eddelbuettel (R J., 2018)

Two-stage Neural-network based Prognosis Models using Pathological Image and Transcriptomic Data: An Application in Hepatocellular Carcinoma Patient Survival Prediction. - Zhucheng Zhan; Noshad Hossenei; Olivier Poirion; Maria Westerhoff; Eun-Young Choi; Travers Ching; Lana X. Garmire (BIOINFORMATICS, 2020)