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2020 – today
- 2022
[j15]Tayo Obafemi-Ajayi
, Andy D. Perkins, Bindu Nanduri, Donald C. Wunsch II, James A. Foster, Joan Peckham:
No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine. AI Ethics 2(4): 635-643 (2022)- [c10]Joan Peckham, Andy D. Perkins, Tayo Obafemi-Ajayi, Xiuzhen Huang:
NBT (no-boundary thinking): needed to attend to ethical implications of data and AI. BCB 2022: 74:1-74:2 - [c9]Andy D. Perkins, Joan Peckham, Tayo Obafemi-Ajayi, Xiuzhen Huang:
Team building without boundaries. BCB 2022: 75:1-75:3 - 2021
- [j14]Chathurani Ranathunge, Sreepriya Pramod, Sébastien Renaut, Gregory L. Wheeler, Andy D. Perkins, Loren H. Rieseberg, Mark E. Welch:
Microsatellites as Agents of Adaptive Change: An RNA-Seq-Based Comparative Study of Transcriptomes from Five Helianthus Species. Symmetry 13(6): 933 (2021) - 2020
- [j13]Adam Thrash, Federico Hoffmann, Andy D. Perkins:
Toward a more holistic method of genome assembly assessment. BMC Bioinform. 21-S(4): 249 (2020)
2010 – 2019
- 2017
- [c8]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:
No-Boundary Thinking in Bioinformatics. PSB 2017: 646-648 - 2015
- [j12]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, Donald F. McMullen, Bindu Nanduri, Andy D. Perkins, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Karl Walker, Donald C. Wunsch, Donghai Xiong, Shuzhong Zhang, Yu Zhang, Zhongming Zhao, Jason H. Moore:
Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm. BioData Min. 8: 7 (2015) - [j11]Harun Pirim, Burak Eksioglu, Andy D. Perkins:
Clustering high throughput biological data with B-MST, a minimum spanning tree based heuristic. Comput. Biol. Medicine 62: 94-102 (2015) - [c7]Jonathan Rice, Kortni Dees, Adam Thrash, Andy D. Perkins:
Investigating genome similarity through cross mapping percentage. BCB 2015: 543-544 - 2014
- [j10]Jonathan D. Wren, Mikhail G. Dozmorov, Dennis Burian, Andy D. Perkins, Chaoyang Zhang, Peter Hoyt, Rakesh Kaundal:
Proceedings of the 2014 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 15(S-11): I1 (2014) - 2013
- [j9]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, Joan Peckham, Andy D. Perkins, Shawn W. Polson, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Donald C. Wunsch, Donghai Xiong, Shuzhong Zhang, Zhongming Zhao:
No-boundary thinking in bioinformatics research. BioData Min. 6: 19 (2013) - [j8]Jonathan D. Wren, Mikhail G. Dozmorov, Dennis Burian, Rakesh Kaundal, Andy D. Perkins, Edward J. Perkins, Doris M. Kupfer, Gordon K. Springer:
Proceedings of the 2013 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 14(S-14): S1 (2013) - [c6]Tamer Aldwairi, Bindu Nanduri, Mahalingam Ramkumar, Dilip Gautam, Michael Johnson, Andy D. Perkins:
Statistical Methods for Ambiguous Sequence Mappings. BCB 2013: 674 - 2012
- [j7]Jeremy J. Jay, John D. Eblen, Yun Zhang, Mikael Benson, Andy D. Perkins, Arnold M. Saxton, Brynn H. Voy, Elissa J. Chesler, Michael A. Langston:
A systematic comparison of genome-scale clustering algorithms. BMC Bioinform. 13(S-10): S7 (2012) - [j6]Harun Pirim, Burak Eksioglu, Andy D. Perkins, Çetin Yüceer:
Clustering of high throughput gene expression data. Comput. Oper. Res. 39(12): 3046-3061 (2012) - 2011
- [c5]Jeremy J. Jay, John D. Eblen, Yun Zhang, Mikael Benson, Andy D. Perkins, Arnold M. Saxton, Brynn H. Voy, Elissa J. Chesler, Michael A. Langston:
A Systematic Comparison of Genome Scale Clustering Algorithms - (Extended Abstract). ISBRA 2011: 416-427 - 2010
- [c4]Harun Pirim, Dilip Gautam, Tanmay Bhowmik, Andy D. Perkins, Burak Eksioglu:
Performance evaluation of a community structure finding algorithm using modularity and C-rand measures. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j5]Andy D. Perkins, Michael A. Langston:
Threshold selection in gene co-expression networks using spectral graph theory techniques. BMC Bioinform. 10(S-11): 4 (2009) - [j4]Brandon M. Malone, Andy D. Perkins, Susan M. Bridges:
Integrating phenotype and gene expression data for predicting gene function. BMC Bioinform. 10(S-11): 20 (2009) - [j3]Reza Mobini, Bengt A. Andersson, Jonas Erjefält, Mirjana Hahn-Zoric, Michael A. Langston, Andy D. Perkins, Lars Cardell, Mikael Benson:
A module-based analytical strategy to identify novel disease-associated genes shows an inhibitory role for interleukin 7 Receptor in allergic inflammation. BMC Syst. Biol. 3: 19 (2009) - [c3]Gary L. Rogers, Andy D. Perkins, Charles A. Phillips, John D. Eblen, Faisal N. Abu-Khzam, Michael A. Langston:
Using out-of-core techniques to produce exact solutions to the maximum clique problem on extremely large graphs. AICCSA 2009: 374-381 - 2008
- [j2]Michael A. Langston, Andy D. Perkins, Arnold M. Saxton, Jon A. Scharff, Brynn H. Voy:
Innovative Computational Methods for Transcriptomic Data Analysis: A Case Study in the Use of FPT for Practical Algorithm Design and Implementation. Comput. J. 51(1): 26-38 (2008) - 2006
- [j1]Brynn H. Voy, Jon A. Scharff, Andy D. Perkins, Arnold M. Saxton, Bhavesh Borate, Elissa J. Chesler, Lisa K. Branstetter, Michael A. Langston:
Extracting Gene Networks for Low-Dose Radiation Using Graph Theoretical Algorithms. PLoS Comput. Biol. 2(7) (2006) - [c2]Ahmed Fadiel, Michael A. Langston, Xinxia Peng, Andy D. Perkins, Hugh S. Taylor, Ozge Tuncalp, D. Vitello, Paul H. Pevsner, Frederick Naftolin:
Computational Analysis of Mass Spectrometry Data Using Novel Combinatorial Methods. AICCSA 2006: 266-273 - [c1]Michael A. Langston, Andy D. Perkins, Arnold M. Saxton, Jon A. Scharff, Brynn H. Voy:
Innovative computational methods for transcriptomic data analysis. SAC 2006: 190-194
Coauthor Index
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