MoViES: molecular vibrations evaluation server for analysis of fluctuational dynamics of proteins and nucleic acids. - Zhi Wei Cao; Ying Xue 001; Lianyi Han; B. Xie; H. Zhou; C. J. Zheng; Honghuang Lin; Yuzong Chen 002 (Nucleic Acids Res., 2004)

PEARLS: Program for Energetic Analysis of Receptor-Ligand System. - Lianyi Han; Honghuang Lin; Ze-Rong Li; C. J. Zheng; Zhi Wei Cao; B. Xie; Yuzong Chen 002 (J. Chem. Inf. Model., 2006)

PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence. - Ze-Rong Li; Honghuang Lin; Lianyi Han; L. Jiang; X. Chen; Yuzong Chen 002 (Nucleic Acids Res., 2006)

Efficacy of different protein descriptors in predicting protein functional families. - Serene A. K. Ong; Honghuang Lin; Yuzong Chen 002; Ze-Rong Li; Zhi Wei Cao (BMC Bioinform., 2007)

Automatic synchronization and distribution of biological databases and software over low-bandwidth networks among developing countries. - Unitsa Sangket; Amornrat Phongdara; Wilaiwan Chotigeat; Darran Nathan; Woo-Yeon Kim; Jong Bhak; Chumpol Ngamphiw; Sissades Tongsima; Asif M. Khan; Honghuang Lin; Tin Wee Tan (Bioinform., 2008)

Evaluation of MHC-II peptide binding prediction servers: applications for vaccine research. - Honghuang Lin; Guanglan Zhang; Songsak Tongchusak; Ellis L. Reinherz; Vladimir Brusic (BMC Bioinform., 2008)

Genomic profiling by machine learning. - Zhiping Zhang; Honghuang Lin (BIBM Workshops, 2011)

Classifying circuit performance using active-learning guided support vector machines. - Honghuang Lin; Peng Li 001 (ICCAD, 2012)

Comparing Bowtie and BWA to Align Short Reads from a RNA-Seq Experiment. - Nuria Medina-Medina; A. Broka; Sean M. Lacey; Honghuang Lin; E. S. Klings; C. T. Baldwin; M. H. Steinberg; Paola Sebastiani (PACBB, 2012)

Verification of digitally-intensive analog circuits via kernel ridge regression and hybrid reachability analysis. - Honghuang Lin; Peng Li 001; Chris J. Myers (DAC, 2013)

Support Vector Machine Based Detection of Drowsiness Using Minimum EEG Features. - Shaoda Yu; Peng Li 001; Honghuang Lin; Ehsan Rohani; Gwan Choi; Botang Shao; Qian Wang 003 (SocialCom, 2013)

Parallel Hierarchical Reachability Analysis for Analog Verification. - Honghuang Lin; Peng Li 001 (DAC, 2014)

Circuit Performance Classification With Active Learning Guided Sampling for Support Vector Machines. - Honghuang Lin; Peng Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

Relevance vector and feature machine for statistical analog circuit characterization and built-in self-test optimization. - Honghuang Lin; Peng Li 001 (DAC, 2016)

Statistical circuit performance dependency analysis via sparse relevance kernel machine. - Honghuang Lin; Asad M. Khan; Peng Li 001 (ICICDT, 2017)

Factors associated with long-term use of digital devices in the electronic Framingham Heart Study. - Chathurangi H. Pathiravasan; Yuankai Zhang; Xuzhi Wang; Ludovic Trinquart; Emelia J. Benjamin; Belinda Borrelli; David D. McManus; Vik Kheterpal; Honghuang Lin; Nicole L. Spartano; Eric Schramm; Chunyu Liu; et al. (npj Digit. Medicine, 2022)

Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans. - Rumeng Li; Xun Wang; Dan Berlowitz; Brian Silver; Wen Hu; Heather Keating; Raelene Goodwin; Weisong Liu; Honghuang Lin; Hong Yu 001 (CoRR, 2023)

Technology engagement is associated with higher perceived physical well-being in stroke patients prescribed smartwatches for atrial fibrillation detection. - Edith Mensah Otabil; Qiying Dai; Paula Anzenberg; Andreas Filippaios; Eric Ding 001; Jordy Mehawej; Joanne E. Mathew; Darleen Lessard; Ziyue Wang; Kamran Noorishirazi; Alexander Hamel; Tenes Paul; et al. (Frontiers Digit. Health, 2023)

A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. - Xihao Li; Han Chen; Margaret Sunitha Selvaraj; Eric Van Buren; Hufeng Zhou; Yuxuan Wang 008; Ryan Sun; Zachary R. McCaw; Zhi Yu; Min-Zhi Jiang; Daniel DiCorpo; Sheila M. Gaynor; et al. (Nat. Comput. Sci., 2025)