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Network Modeling and Inference of Peroxisome Proliferator-Activated Receptor Pathway in High fat diet-linked Obesity
View ORCID ProfileHaswanth Vundavilli, Lokesh P. Tripathi, Aniruddha Datta, Kenji Mizuguchi
doi: https://doi.org/10.1101/2020.09.15.298356
Haswanth Vundavilli
*Department of Electrical and Computer Engineering & The Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, TX, USA
†Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki City, 567-0085, Osaka, Japan
Lokesh P. Tripathi
†Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki City, 567-0085, Osaka, Japan
Aniruddha Datta
*Department of Electrical and Computer Engineering & The Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, TX, USA
Kenji Mizuguchi
†Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki City, 567-0085, Osaka, Japan
‡Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita-shi, Osaka 565-0871, Japan
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Posted September 16, 2020.
Network Modeling and Inference of Peroxisome Proliferator-Activated Receptor Pathway in High fat diet-linked Obesity
Haswanth Vundavilli, Lokesh P. Tripathi, Aniruddha Datta, Kenji Mizuguchi
bioRxiv 2020.09.15.298356; doi: https://doi.org/10.1101/2020.09.15.298356
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