New Results
Robust and Efficient Assessment of Potency (REAP): A Quantitative Tool for Dose-response Curve Estimation
Shouhao Zhou, Xinyi Liu, View ORCID ProfileXinying Fang, View ORCID ProfileVernon M. Chinchilli, View ORCID ProfileMichael Wang, Hong-Gang Wang, View ORCID ProfileNikolay V Dokholyan, Chan Shen, View ORCID ProfileJ Jack Lee
doi: https://doi.org/10.1101/2021.11.20.469388
Shouhao Zhou
1Department of Public Health Sciences, Pennsylvania State University, Hershey, PA
PhDXinyi Liu
1Department of Public Health Sciences, Pennsylvania State University, Hershey, PA
MSXinying Fang
1Department of Public Health Sciences, Pennsylvania State University, Hershey, PA
MSVernon M. Chinchilli
1Department of Public Health Sciences, Pennsylvania State University, Hershey, PA
PhDMichael Wang
2Department of Lymphoma and Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX
MDHong-Gang Wang
3Department of Pharmacology, Pennsylvania State University, Hershey, PA
4Department of Pediatrics, Pennsylvania State University, Hershey, PA
PhDNikolay V Dokholyan
3Department of Pharmacology, Pennsylvania State University, Hershey, PA
5Department of Biochemistry and Molecular Biology, Pennsylvania State University, Hershey, PA
PhDChan Shen
1Department of Public Health Sciences, Pennsylvania State University, Hershey, PA
6Department of Surgery, The Pennsylvania State University, Hershey, PA
PhDJ Jack Lee
7Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX
PhD
Posted November 22, 2021.
Robust and Efficient Assessment of Potency (REAP): A Quantitative Tool for Dose-response Curve Estimation
Shouhao Zhou, Xinyi Liu, Xinying Fang, Vernon M. Chinchilli, Michael Wang, Hong-Gang Wang, Nikolay V Dokholyan, Chan Shen, J Jack Lee
bioRxiv 2021.11.20.469388; doi: https://doi.org/10.1101/2021.11.20.469388
Robust and Efficient Assessment of Potency (REAP): A Quantitative Tool for Dose-response Curve Estimation
Shouhao Zhou, Xinyi Liu, Xinying Fang, Vernon M. Chinchilli, Michael Wang, Hong-Gang Wang, Nikolay V Dokholyan, Chan Shen, J Jack Lee
bioRxiv 2021.11.20.469388; doi: https://doi.org/10.1101/2021.11.20.469388
Subject Area
Subject Areas
- Biochemistry (11681)
- Bioengineering (8711)
- Bioinformatics (29099)
- Biophysics (14915)
- Cancer Biology (12044)
- Cell Biology (17329)
- Clinical Trials (138)
- Developmental Biology (9398)
- Ecology (14126)
- Epidemiology (2067)
- Evolutionary Biology (18248)
- Genetics (12208)
- Genomics (16743)
- Immunology (11830)
- Microbiology (27953)
- Molecular Biology (11530)
- Neuroscience (60723)
- Paleontology (450)
- Pathology (1863)
- Pharmacology and Toxicology (3224)
- Physiology (4930)
- Plant Biology (10373)
- Synthetic Biology (2873)
- Systems Biology (7326)
- Zoology (1638)