Computational Analysis of Mass Spectrometry Data Using Novel Combinatorial Methods. - Ahmed Fadiel; Michael A. Langston; Xinxia Peng; Andy D. Perkins; Hugh S. Taylor; Ozge Tuncalp; D. Vitello; Paul H. Pevsner; Frederick Naftolin (AICCSA, 2006)

Innovative computational methods for transcriptomic data analysis. - Michael A. Langston; Andy D. Perkins; Arnold M. Saxton; Jon A. Scharff; Brynn H. Voy (SAC, 2006)

Extracting Gene Networks for Low-Dose Radiation Using Graph Theoretical Algorithms. - Brynn H. Voy; Jon A. Scharff; Andy D. Perkins; Arnold M. Saxton; Bhavesh Borate; Elissa J. Chesler; Lisa K. Branstetter; Michael A. Langston (PLoS Comput. Biol., 2006)

Innovative Computational Methods for Transcriptomic Data Analysis: A Case Study in the Use of FPT for Practical Algorithm Design and Implementation. - Michael A. Langston; Andy D. Perkins; Arnold M. Saxton; Jon A. Scharff; Brynn H. Voy (Comput. J., 2008)

Using out-of-core techniques to produce exact solutions to the maximum clique problem on extremely large graphs. - Gary L. Rogers; Andy D. Perkins; Charles A. Phillips; John D. Eblen; Faisal N. Abu-Khzam; Michael A. Langston (AICCSA, 2009)

Integrating phenotype and gene expression data for predicting gene function. - Brandon M. Malone; Andy D. Perkins; Susan M. Bridges (BMC Bioinform., 2009)

Threshold selection in gene co-expression networks using spectral graph theory techniques. - Andy D. Perkins; Michael A. Langston (BMC Bioinform., 2009)

A module-based analytical strategy to identify novel disease-associated genes shows an inhibitory role for interleukin 7 Receptor in allergic inflammation. - Reza Mobini; Bengt A. Andersson; Jonas Erjefält; Mirjana Hahn-Zoric; Michael A. Langston; Andy D. Perkins; Lars Cardell; Mikael Benson (BMC Syst. Biol., 2009)

Performance evaluation of a community structure finding algorithm using modularity and C-rand measures. - Harun Pirim; Dilip Gautam; Tanmay Bhowmik; Andy D. Perkins; Burak Eksioglu (IJCNN, 2010)

A Systematic Comparison of Genome Scale Clustering Algorithms - (Extended Abstract). - Jeremy J. Jay; John D. Eblen; Yun Zhang 013; Mikael Benson; Andy D. Perkins; Arnold M. Saxton; Brynn H. Voy; Elissa J. Chesler; Michael A. Langston (ISBRA, 2011)

A systematic comparison of genome-scale clustering algorithms. - Jeremy J. Jay; John D. Eblen; Yun Zhang 013; Mikael Benson; Andy D. Perkins; Arnold M. Saxton; Brynn H. Voy; Elissa J. Chesler; Michael A. Langston (BMC Bioinform., 2012)

Clustering of high throughput gene expression data. - Harun Pirim; Burak Eksioglu; Andy D. Perkins; Çetin Yüceer (Comput. Oper. Res., 2012)

Statistical Methods for Ambiguous Sequence Mappings. - Tamer Aldwairi; Bindu Nanduri; Mahalingam Ramkumar; Dilip Gautam; Michael Johnson; Andy D. Perkins (BCB, 2013)

No-boundary thinking in bioinformatics research. - Xiuzhen Huang; Barry Bruce; Alison Buchan; Clare Bates Congdon; Carole L. Cramer; Steven F. Jennings; Hongmei Jiang; Zenglu Li; Gail McClure; Rick McMullen; Jason H. Moore; Bindu Nanduri; et al. (BioData Min., 2013)

Proceedings of the 2013 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. - Jonathan D. Wren; Mikhail G. Dozmorov; Dennis Burian; Rakesh Kaundal; Andy D. Perkins; Edward J. Perkins; Doris M. Kupfer; Gordon K. Springer (BMC Bioinform., 2013)

Proceedings of the 2014 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. - Jonathan D. Wren; Mikhail G. Dozmorov; Dennis Burian; Andy D. Perkins; Chaoyang Zhang; Peter Hoyt; Rakesh Kaundal (BMC Bioinform., 2014)

Investigating genome similarity through cross mapping percentage. - Jonathan Rice; Kortni Dees; Adam Thrash; Andy D. Perkins (BCB, 2015)

Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm. - Xiuzhen Huang; Steven F. Jennings; Barry Bruce; Alison Buchan; Liming Cai; Pengyin Chen; Carole L. Cramer; Weihua Guan; Uwe Hilgert; Hongmei Jiang; Zenglu Li; Gail McClure; et al. (BioData Min., 2015)

Clustering high throughput biological data with B-MST, a minimum spanning tree based heuristic. - Harun Pirim; Burak Eksioglu; Andy D. Perkins (Comput. Biol. Medicine, 2015)

No-Boundary Thinking in Bioinformatics. - Jason H. Moore; Steven F. Jennings; Casey S. Greene; Lawrence E. Hunter; Andy D. Perkins; ClarLynda R. Williams-DeVane; Donald C. Wunsch; Zhongming Zhao; Xiuzhen Huang (PSB, 2017)

Toward a more holistic method of genome assembly assessment. - Adam Thrash; Federico Hoffmann; Andy D. Perkins (BMC Bioinform., 2020)

Microsatellites as Agents of Adaptive Change: An RNA-Seq-Based Comparative Study of Transcriptomes from Five Helianthus Species. - Chathurani Ranathunge; Sreepriya Pramod; Sébastien Renaut; Gregory L. Wheeler; Andy D. Perkins; Loren H. Rieseberg; Mark E. Welch (Symmetry, 2021)

NBT (no-boundary thinking): needed to attend to ethical implications of data and AI. - Joan Peckham; Andy D. Perkins; Tayo Obafemi-Ajayi; Xiuzhen Huang (BCB, 2022)

Team building without boundaries. - Andy D. Perkins; Joan Peckham; Tayo Obafemi-Ajayi; Xiuzhen Huang (BCB, 2022)

No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine. - Tayo Obafemi-Ajayi; Andy D. Perkins; Bindu Nanduri; Donald C. Wunsch II; James A. Foster; Joan Peckham (AI Ethics, 2022)