New Results
Targeting the Untargetable: Predicting Pramlintide Resistance Using a Neural Network Based Cellular Automata
Eunjung Kim, Ryan Schenck, Jeffrey West, William Cross, Valerie Harris, Joseph McKenna, Heyrim Cho, Elizabeth Coker, Steven Lee-Kramer Kenneth Y. Tsai, Elsa R. Flores, Chandler Gatenbee
doi: https://doi.org/10.1101/211383
Eunjung Kim
1Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL
Ryan Schenck
1Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL
2Wellcome Trust Centre for Human Genetics, University of Oxford, UK
Jeffrey West
1Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL
3Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, California
William Cross
4Evolution and Cancer Laboratory, Barts Cancer Institute, London
Valerie Harris
5Center for Evolution and Cancer, Arizona State University, Tempe, AZ
Joseph McKenna
6National Institutes of Health
Heyrim Cho
7Department of Mathematics, University of Maryland, College Park, MD, USA
Elizabeth Coker
8Institute of Cancer Research: London, London, UK
Steven Lee-Kramer Kenneth Y. Tsai
9Departments of Anatomic Pathology & Tumor Biology, Moffitt Cancer Center, Tampa, FL
Elsa R. Flores
10Department of Molecular Oncology, Moffitt Cancer Center, Tampa, FL
Chandler Gatenbee
1Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL
Article usage
Posted October 30, 2017.
Targeting the Untargetable: Predicting Pramlintide Resistance Using a Neural Network Based Cellular Automata
Eunjung Kim, Ryan Schenck, Jeffrey West, William Cross, Valerie Harris, Joseph McKenna, Heyrim Cho, Elizabeth Coker, Steven Lee-Kramer Kenneth Y. Tsai, Elsa R. Flores, Chandler Gatenbee
bioRxiv 211383; doi: https://doi.org/10.1101/211383
Targeting the Untargetable: Predicting Pramlintide Resistance Using a Neural Network Based Cellular Automata
Eunjung Kim, Ryan Schenck, Jeffrey West, William Cross, Valerie Harris, Joseph McKenna, Heyrim Cho, Elizabeth Coker, Steven Lee-Kramer Kenneth Y. Tsai, Elsa R. Flores, Chandler Gatenbee
bioRxiv 211383; doi: https://doi.org/10.1101/211383
Subject Area
Subject Areas
- Biochemistry (11752)
- Bioengineering (8752)
- Bioinformatics (29200)
- Biophysics (14974)
- Cancer Biology (12096)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18308)
- Genetics (12245)
- Genomics (16803)
- Immunology (11869)
- Microbiology (28097)
- Molecular Biology (11594)
- Neuroscience (60969)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7340)
- Zoology (1651)