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Jaegyoon Ahn

Showing results (1-10 of 39) with videos related to

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Bioinformatics (Oxford, England)|September 2, 2015
RASER: reads aligner for SNPs and editing sites of RNAJaegyoon Ahn, Xinshu Xiao
BMC Bioinformatics|August 8, 2019
Novel deep learning model for more accurate prediction of drug-drug interaction effectsGeonhee Lee, Chihyun Park, Jaegyoon Ahn
Scientific Reports|February 7, 2020
RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistanceJonghwan Choi, Sanghyun Park, Jaegyoon Ahn
Plos One|October 31, 2014
A network-based classification model for deriving novel drug-disease associations and assessing their molecular actionsMin Oh, Jaegyoon Ahn, Youngmi Yoon
BMC Bioinformatics|May 5, 2025
PathNetDRP: a novel biomarker discovery framework using pathway and protein-protein interaction networks for immune checkpoint inhibitor response predictionDohee Lee, Jaegyoon Ahn, Jonghwan Choi
Peerj|December 6, 2018
DockerBIO: web application for efficient use of bioinformatics Docker imagesChangHyuk Kwon, Jason Kim, Jaegyoon Ahn
Scientific Reports|January 12, 2021
GVES: machine learning model for identification of prognostic genes with a small datasetSoohyun Ko, Jonghwan Choi, Jaegyoon Ahn
Genes|October 4, 2018
An Improved Method for Prediction of Cancer Prognosis by Network LearningMinseon Kim, Ilhwan Oh, Jaegyoon Ahn
Computer Methods and Programs in Biomedicine|May 3, 2011
TC-VGC: a tumor classification system using variations in genes' correlationEunji Shin, Youngmi Yoon, Jaegyoon Ahn, et al.
Scientific Reports|September 15, 2018
G2Vec: Distributed gene representations for identification of cancer prognostic genesJonghwan Choi, Ilhwan Oh, Sangmin Seo, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|September 2, 2015
RASER: reads aligner for SNPs and editing sites of RNAJaegyoon Ahn, Xinshu Xiao
BMC Bioinformatics|August 8, 2019
Novel deep learning model for more accurate prediction of drug-drug interaction effectsGeonhee Lee, Chihyun Park, Jaegyoon Ahn
Scientific Reports|February 7, 2020
RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistanceJonghwan Choi, Sanghyun Park, Jaegyoon Ahn
Plos One|October 31, 2014
A network-based classification model for deriving novel drug-disease associations and assessing their molecular actionsMin Oh, Jaegyoon Ahn, Youngmi Yoon
BMC Bioinformatics|May 5, 2025
PathNetDRP: a novel biomarker discovery framework using pathway and protein-protein interaction networks for immune checkpoint inhibitor response predictionDohee Lee, Jaegyoon Ahn, Jonghwan Choi
Peerj|December 6, 2018
DockerBIO: web application for efficient use of bioinformatics Docker imagesChangHyuk Kwon, Jason Kim, Jaegyoon Ahn
Scientific Reports|January 12, 2021
GVES: machine learning model for identification of prognostic genes with a small datasetSoohyun Ko, Jonghwan Choi, Jaegyoon Ahn
Genes|October 4, 2018
An Improved Method for Prediction of Cancer Prognosis by Network LearningMinseon Kim, Ilhwan Oh, Jaegyoon Ahn
Computer Methods and Programs in Biomedicine|May 3, 2011
TC-VGC: a tumor classification system using variations in genes' correlationEunji Shin, Youngmi Yoon, Jaegyoon Ahn, et al.
Scientific Reports|September 15, 2018
G2Vec: Distributed gene representations for identification of cancer prognostic genesJonghwan Choi, Ilhwan Oh, Sangmin Seo, et al.
Pageof 4