An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data. - Arthur L. Hsu; Sen-Lin Tang; Saman K. Halgamuge (Bioinform., 2003)

A Method for Evaluating Quality of Clustering DNA Fragments Encoded in Different Nucleotide Frequencies. - Chon-Kit Kenneth Chan; Arthur L. Hsu; Sen-Lin Tang; Saman K. Halgamuge (FBIT, 2007)

Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages. - Jason Li 002; Saman K. Halgamuge; Christopher I. Kells; Sen-Lin Tang (BMC Bioinform., 2007)

Binning sequences using very sparse labels within a metagenome. - Chon-Kit Kenneth Chan; Arthur L. Hsu; Saman K. Halgamuge; Sen-Lin Tang (BMC Bioinform., 2008)

Modeling and comparing the organization of circular genomes. - Grace S. Shieh; Shurong Zheng; Richard A. Johnson; Yi-Feng Chang; Kunio Shimizu; Chia-Chang Wang; Sen-Lin Tang (Bioinform., 2011)

ViQuaS: an improved reconstruction pipeline for viral quasispecies spectra generated by next-generation sequencing. - Duleepa Jayasundara; Isaam Saeed; Suhinthan Maheswararajah; Bill C. Chang; Sen-Lin Tang; Saman K. Halgamuge (Bioinform., 2015)

Accurate reconstruction of viral quasispecies spectra through improved estimation of strain richness. - Duleepa Jayasundara; Isaam Saeed; Bc Chang; Sen-Lin Tang; Saman K. Halgamuge (BMC Bioinform., 2015)

CoMet: a workflow using contig coverage and composition for binning a metagenomic sample with high precision. - Damayanthi Herath; Sen-Lin Tang; Kshitij Tandon; David C. Ackland; Saman Kumara Halgamuge (BMC Bioinform., 2017)

Taxonomy based performance metrics for evaluating taxonomic assignment methods. - Chung-Yen Chen; Sen-Lin Tang; Seng-Cho Timothy Chou (BMC Bioinform., 2019)

ENVirT: inference of ecological characteristics of viruses from metagenomic data. - Duleepa Jayasundara; Damayanthi Herath; Damith A. Senanayake; Isaam Saeed; Cheng-Yu Yang; Yuan Sun 003; Bill C. Chang; Sen-Lin Tang; Saman K. Halgamuge (BMC Bioinform., 2019)