|Xiangfang (Lindsey) Li, Ph.D.
Xiangfang (Lindsey) Li is an Assistant Professor in the Department of Electrical and Computer Engineering at Prairie View A&M University. Before the current position, she was TEES Associate Research Scientist at Texas A&M University, and actively participated in the Bioinformatics Training Program sponsored by NIH. Her research interests are in bioinformatics, computational and systems biology, and systems pharmacology.
- Ph.D. Rutgers – The State University of New Jersey, 2007
- M.S. Rutgers – The State University of New Jersey, 2003
- M.S. BUAA, Beijing, 1995
- B.S. BUAA, Beijing, 1993
Current Research Interests
Computational and Systems Biology
- drug effect modeling and analysis
- genetic regulatory networks
Selected Recent Publications
Computational and Systems Biology
- X. Li, L. Qian, and E. Dougherty (2013). “Drug Sensitivity Analysis: A Dosage Study on Cancer Cell Lines”, Symposia on Cancer Research: Genomic Medicine, MD Anderson Cancer Center, Houston, USA, Oct. 4-5, 2013.
- X. Li, L. Qian, and E. Dougherty (2013). “Identification of Molecularly Targeted Drug Effect Coefficient Using H infinity Filter”, IEEE Global Conference on Signal and Information Processing (GlobalSIP), accepted, Austin, USA, Dec. 3-5, 2013.
- X. Li, L. Qian, M. Bittner, and E. Dougherty (2013). “’Drug Effect Study on Proliferation and Survival Pathways on Cell Line-based Platform: a Stochastic Hybrid Systems Approach’”, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2013), accepted, Houston, USA, Nov. 17-19, 2013
- X. Li and E. Dougherty (2012). “Dynamical Modeling of Drug Effects Using Hybrid Systems”, EURASIP Journal on Bioinformatics and Systems Biology, 2012:19. DOI: 10.1186/1687-4153-2012-19, Dec. 26, 2012.
- X. Li, J. Hua, M. Bittner, and E. Dougherty (2012). “Assessing the Efficacy of Molecularly Targeted Agents on Cell Line-based Platforms by Using System Identification”, BMC Genomics, 13:S11 DOI: 10.1186/1471-2164-13-S6-S11, Oct. 26, 2012.
- X. Li, M. Bittner, and E. Dougherty (2012). “A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens – a Modeling Study of Drug Effects on Tumor Growth Using Hybrid Systems”, Cancer Informatics, pp. 41-60, 2012:11 PMID:22442626, Feb. 27, 2012.
- X. Li, L. Qian, M. Bittner, and E. Dougherty (2011). “Characterization of Drug Efficacy Regions Based on Dosage and Frequency Schedules”, IEEE Transactions On Biomedical Engineering, pp. 488-498, vol. 58, no. 3, PMID: 21095860, Mar. 2011.
- L. Qian, H. Wang and X. Li (2011). “Genetic Regulatory Networks Inference: Combining a genetic programming and H infinity Filtering Approach”, Chapter 7 in Applied Statistics for Network Biology: Methods in Systems Biology, pp. 133-153, Wiley, ISBN: 978-3-527-32750-8, June 2011.
- X. Li, M. Bittner, and E. Dougherty (2011). “Assessing the Efficacy of Molecularly Targeted Agents by Using Kalman Filter”, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS’11), San Antonio, TX. Dec. 2011.
- X. Li, M. Bittner, and E. Dougherty (2011). “Dynamic and Quantitative Modeling of Drug Effect – a NF-KB pathway example study”, 102nd annual meeting of American Association for Cancer Research (AACR), Orlando, Florida, April 2011.
- X. Li, M. Bittner, and E. Dougherty (2011). “Drug Effects Modeling for Tumor Growth using Hybrid Systems: A Personalized Drug Administration Approach to Improving Therapeutic Effects”, 8th Annual Conference of Mid-South Computational Biology and Bioinformatics Society (MCBIOS), College Station, Texas, April 2011.
- X. Li, M. Bittner, and E. Dougherty (2010). “Dynamic & Quantitative Modeling of Drug Effect – Characterization of Drug Efficacy Regions Based on Dosage Regimen”, Symposium on Cancer Research 2010: Personalized cancer therapy and prevention, MD Anderson cancer center, Oct. 8-9, 2010.
- X. Li and E. Dougherty (2010). “Modeling Treatment and Drug Effects at the Molecular Level using Hybrid System Theory”, In Proc. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2010), pp. 140-146, Montreal, May 2010.
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