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Bahrad A. Sokhansanj
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2020 – today
- 2024
- [j12]Rohan Chandraghatgi
, Hai-Feng Ji
Streamlining Computational Fragment-Based Drug Discovery through Evolutionary Optimization Informed by Ligand-Based Virtual Prescreening. J. Chem. Inf. Model. 64(9): 3826-3840 (2024) - [i1]Hyunwoo Yoo, Bahrad A. Sokhansanj, James R. Brown, Gail Rosen:
Predicting Anti-microbial Resistance using Large Language Models. CoRR abs/2401.00642 (2024) - 2023
- [c7]Adriana Fasino, Emrecan Ozdogan, Bahrad A. Sokhansanj
Semi-Supervised and Incremental Sequence Analysis for Taxonomic Classification. SSCI 2023: 1132-1138 - 2022
- [j11]Bahrad A. Sokhansanj
Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning. Comput. Biol. Medicine 149: 105969 (2022) - [c6]Emrecan Ozdogan, Adriana Fasino, Rachel Nguyen, Bahrad A. Sokhansanj
Semi-supervised and Incremental VSEARCH for Metagenomic Classification. SSCI 2022: 1119-1126 - 2021
- [j10]Zhengqiao Zhao
Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network. PLoS Comput. Biol. 17(9) (2021) - [c5]Mali Halac, Bahrad A. Sokhansanj, William L. Trimble, Thomas Coard, Norman C. Sabin, Emrecan Ozdogan, Robi Polikar, Gail L. Rosen:
Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences. SSCI 2021: 1-8 - [c4]Emrecan Ozdogan, Norman C. Sabin, Thomas Gracie, Steven Portley, Mali Halac, Thomas Coard, William L. Trimble, Bahrad A. Sokhansanj
Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification. SSCI 2021: 1-7 - 2020
- [j9]Zhengqiao Zhao
Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization. PLoS Comput. Biol. 16(9) (2020)
2000 – 2009
- 2009
- [j8]Xiaohua Hu, Michael K. Ng
Mining, Modeling, and Evaluation of Subnetworks From Large Biomolecular Networks and Its Comparison Study. IEEE Trans. Inf. Technol. Biomed. 13(2): 184-194 (2009) - [p1]Bahrad A. Sokhansanj, Suman Datta, Xiaohua Hu:
Scalable Dynamic Fuzzy Biomolecular Network Models for Large Scale Biology. Fuzzy Systems in Bioinformatics and Computational Biology 2009: 235-255 - 2008
- [j7]Gail L. Rosen, Elaine Garbarine, Diamantino Caseiro, Robi Polikar, Bahrad A. Sokhansanj:
Metagenome Fragment Classification Using N-Mer Frequency Profiles. Adv. Bioinformatics 2008: 205969:1-205969:12 (2008) - 2007
- [j6]Suman Datta, Bahrad A. Sokhansanj
Accelerated search for biomolecular network models to interpret high-throughput experimental data. BMC Bioinform. 8 (2007) - [j5]He Zhao, Bahrad A. Sokhansanj
Integrated modeling methodology for microtubule dynamics and Taxol kinetics with experimentally identifiable parameters. Comput. Methods Programs Biomed. 88(1): 18-25 (2007) - [j4]Xiaohua Hu, Bahrad A. Sokhansanj, Daniel Duanqing Wu, Yuchun Tang:
A Novel Approach for Mining and Fuzzy Simulation of Subnetworks From Large Biomolecular Networks. IEEE Trans. Fuzzy Syst. 15(6): 1219-1229 (2007) - [c3]Xiaohua Hu, Fang-Xiang Wu, Michael K. Ng, Bahrad A. Sokhansanj:
Mining and Dynamic Simulation of Sub-Networks from Large Biomolecular Networks. IC-AI 2007: 806-813 - 2005
- [c2]Weizhong Zhu, Xia Lin
Visualization of protein-protein interaction network for knowledge discovery. GrC 2005: 373-377 - 2004
- [j3]Bahrad A. Sokhansanj
Linear fuzzy gene network models obtained from microarray data by exhaustive search. BMC Bioinform. 5: 108 (2004) - [j2]Andrew A. Quong, J. R. Kercher, Paula M. McCready, Judy N. Quong, Bahrad A. Sokhansanj, J. Patrick Fitch:
An indexed modeling and experimental strategy for biosignatures of pathogen and host. J. Frankl. Inst. 341(1-2): 157-174 (2004) - 2001
- [c1]J. Patrick Fitch, Jefferson Ng, Bahrad A. Sokhansanj:
Matrix formulation of a universal microbial transcript profiling system. ICASSP 2001: 3453-3456 - 2000
- [j1]J. Patrick Fitch, Bahrad A. Sokhansanj:
Genomic engineering: moving beyond DNA sequence to function. Proc. IEEE 88(12): 1949-1971 (2000)
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