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Jungkap Park

Showing results (1-10 of 9) with videos related to

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BMC Bioinformatics|September 20, 2014
ROTAS: a rotamer-dependent, atomic statistical potential for assessment and prediction of protein structuresJungkap Park, Kazuhiro Saitou
Journal of Chemical Information and Modeling|July 23, 2009
Tunable machine vision-based strategy for automated annotation of chemical databasesJungkap Park, Gus R Rosania, Kazuhiro Saitou
Scientific Reports|July 27, 2022
Automated histological classification for digital pathology images of colonoscopy specimen via deep learningSun-Ju Byeon, Jungkap Park, Yoon Ah Cho, et al.
Chemistry Central Journal|February 7, 2009
Automated extraction of chemical structure information from digital raster imagesJungkap Park, Gus R Rosania, Kerby A Shedden, et al.
Cell Reports Methods|August 3, 2023
Targeted proteomics data interpretation with DeepMRMJungkap Park, Christopher Wilkins, Dmitry Avtonomov, et al.
Diagnostics (Basel, Switzerland)|February 25, 2022
Automated Diagnosis of Cervical Intraepithelial Neoplasia in Histology Images via Deep LearningBum-Joo Cho, Jeong-Won Kim, Jungkap Park, et al.
Molecular & Cellular Proteomics : MCP|August 3, 2024
Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal AdenocarcinomaHyeonji Kim, Sunghyun Huh, Jungkap Park, et al.
Nature Methods|August 8, 2017
Informed-Proteomics: open-source software package for top-down proteomicsJungkap Park, Paul D Piehowski, Christopher Wilkins, et al.
Nature Methods|June 15, 2018
Author Correction: Informed-Proteomics: open-source software package for top-down proteomicsJungkap Park, Paul D Piehowski, Christopher Wilkins, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|September 20, 2014
ROTAS: a rotamer-dependent, atomic statistical potential for assessment and prediction of protein structuresJungkap Park, Kazuhiro Saitou
Journal of Chemical Information and Modeling|July 23, 2009
Tunable machine vision-based strategy for automated annotation of chemical databasesJungkap Park, Gus R Rosania, Kazuhiro Saitou
Scientific Reports|July 27, 2022
Automated histological classification for digital pathology images of colonoscopy specimen via deep learningSun-Ju Byeon, Jungkap Park, Yoon Ah Cho, et al.
Chemistry Central Journal|February 7, 2009
Automated extraction of chemical structure information from digital raster imagesJungkap Park, Gus R Rosania, Kerby A Shedden, et al.
Cell Reports Methods|August 3, 2023
Targeted proteomics data interpretation with DeepMRMJungkap Park, Christopher Wilkins, Dmitry Avtonomov, et al.
Diagnostics (Basel, Switzerland)|February 25, 2022
Automated Diagnosis of Cervical Intraepithelial Neoplasia in Histology Images via Deep LearningBum-Joo Cho, Jeong-Won Kim, Jungkap Park, et al.
Molecular & Cellular Proteomics : MCP|August 3, 2024
Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal AdenocarcinomaHyeonji Kim, Sunghyun Huh, Jungkap Park, et al.
Nature Methods|August 8, 2017
Informed-Proteomics: open-source software package for top-down proteomicsJungkap Park, Paul D Piehowski, Christopher Wilkins, et al.
Nature Methods|June 15, 2018
Author Correction: Informed-Proteomics: open-source software package for top-down proteomicsJungkap Park, Paul D Piehowski, Christopher Wilkins, et al.
Pageof 1