CNGPLD: case-control copy-number analysis using Gaussian process latent difference. - David J. H. Shih; Ruoxing Li; Peter Müller; W. Jim Zheng; Kim-Anh Do; Shiaw-Yih Lin; Scott L. Carter (Bioinform., 2022)

Learning and teaching biological data science in the Bioconductor community. - Jenny Drnevich; Frederick J. Tan; Fabricio Almeida-Silva; Robert Castelo; Aedín C. Culhane; Sean Davis 001; Maria A. Doyle; Susan P. Holmes; Leo Lahti; Alexandru Mahmoud; Kozo Nishida; Marcel Ramos; et al. (CoRR, 2024)

Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records. - Zhao Li; Lan Lan; Yujia Zhou 003; Ruoxing Li; Kenneth D. Chavin; Hua Xu 001; Liang Li; David J. H. Shih; W. Jim Zheng (J. Biomed. Informatics, 2024)

Learning and teaching biological data science in the Bioconductor community. - Jenny Drnevich; Frederick J. Tan; Fabricio Almeida-Silva; Robert Castelo; Aedín C. Culhane; Sean R. Davis; Maria A. Doyle; Ludwig Geistlinger; Andrew R. Ghazi; Susan P. Holmes; Leo Lahti; Alexandru Mahmoud; et al. (PLoS Comput. Biol., 2025)

enLLASD: An Ensemble Deep Learning Framework to Automate Derivation of Lower Limb Alignments for Skeletal Dysplasia. - Peikai Chen; Xinlin Zhou; Haihua Cai; David J. H. Shih; Janus Wong; Yong Hu 003; Michael Kai-Tsun To (IEEE Trans. Instrum. Meas., 2025)