The Approximate Algorithm for Analysis of the Strand Separation Transition in Super helical DNA Using Nearest Neighbor Energetics. - Chengpeng Bi; Craig J. Benham (CSB, 2003)

The Analysis of Stress-Induced Duplex Destabilization in Long Genomic DNA Sequences. - Craig J. Benham; Chengpeng Bi (J. Comput. Biol., 2004)

BIPAD: A web server for modeling bipartite sequence elements. - Chengpeng Bi; Peter K. Rogan (BMC Bioinform., 2006)

A Genetic-Based EM Motif-Finding Algorithm for Biological Sequence Analysis. - Chengpeng Bi (CIBCB, 2007)

A Survey of in silico Motif Discovery and Computational Intelligence Applications. - Chengpeng Bi (IC-AI, 2007)

Multiple Sequence Local Alignment Using Monte Carlo EM Algorithm. - Chengpeng Bi (ISBRA, 2007)

Wing Pattern-Based Classification of the Rhagoletis pomonella Species Complex Using Genetic Neural Networks. - Chengpeng Bi; Michael C. Saunders; Bruce A. McPheron (Int. J. Comput. Sci. Appl., 2007)

Seam: a Stochastic EM-Type Algorithm for Motif-Finding in Biopolymer Sequences. - Chengpeng Bi (J. Bioinform. Comput. Biol., 2007)

Evolutionary metropolis sampling in sequence alignment space. - Chengpeng Bi (IEEE Congress on Evolutionary Computation, 2008)

Neuro-fuzzy classification of the Rhagoletis pomonella species group using digitized wing structures. - Chengpeng Bi; Michael C. Saunders; Bruce A. McPheron (CIBCB, 2008)

Computational intelligence in multiple sequence alignment. - Chengpeng Bi (Int. J. Intell. Comput. Cybern., 2008)

DNA motif alignment by evolving a population of Markov chains. - Chengpeng Bi (BMC Bioinform., 2009)

A Monte Carlo EM Algorithm for De Novo Motif Discovery in Biomolecular Sequences. - Chengpeng Bi (IEEE ACM Trans. Comput. Biol. Bioinform., 2009)

Supervised learning of maternal cigarette-smoking signatures from placental gene expression data: A case study. - Chengpeng Bi; Carrie A. Vyhlidal; J. Steven Leeder (CIBCB, 2010)

Deterministic local alignment methods improved by a simple genetic algorithm. - Chengpeng Bi (Neurocomputing, 2010)

Comparison of optimization techniques for sequence pattern discovery by maximum-likelihood. - Chengpeng Bi (Pattern Recognit. Lett., 2010)

Tackling the challenging motif problem through hybrid particle swarm optimized alignment clustering. - Chengpeng Bi (CIBCB, 2011)

Derivation of minimum best sample size from microarray data sets: A Monte Carlo approach. - Chengpeng Bi; Mara Becker; J. Steven Leeder (CIBCB, 2011)

Large-scale computation of pediatric growth percentiles with fuzzy logic justification of parameter selection. - Chengpeng Bi; J. Steven Leeder (CIBCB, 2012)

Memetic algorithms for de novo motif-finding in biomedical sequences. - Chengpeng Bi (Artif. Intell. Medicine, 2012)