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Giltae Song

Showing results (11-20 of 33) with videos related to

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Bioinformatics (Oxford, England)|June 13, 2025
Gene Spatial Integration: enhancing spatial transcriptomics analysis via deep learning and batch effect mitigationRian Pratama, Jason Hilton, J Michael Cherry, et al.
Briefings in Bioinformatics|January 22, 2025
Therapeutic gene target prediction using novel deep hypergraph representation learningKibeom Kim, Juseong Kim, Minwook Kim, et al.
Plos One|June 25, 2021
Predicting aptamer sequences that interact with target proteins using an aptamer-protein interaction classifier and a Monte Carlo tree search approachGwangho Lee, Gun Hyuk Jang, Ho Young Kang, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 4, 2009
Evolutionary history reconstruction for Mammalian complex gene clustersYu Zhang, Giltae Song, Tomás Vinar, et al.
BMC Oral Health|May 30, 2021
Authentication of differential gene expression in oral squamous cell carcinoma using machine learning applicationsRian Pratama, Jae Joon Hwang, Ji Hye Lee, et al.
Database : the Journal of Biological Databases and Curation|March 19, 2016
From one to many: expanding the Saccharomyces cerevisiae reference genome panelStacia R Engel, Shuai Weng, Gail Binkley, et al.
Scientific Reports|May 15, 2020
CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspectionDongpin Oh, J Seth Strattan, Junho K Hur, et al.
BMC Bioinformatics|November 27, 2023
AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encodersIncheol Shin, Keumseok Kang, Juseong Kim, et al.
International Ophthalmology|July 28, 2025
Enhancing central visual field loss representation with a hybrid unsupervised approachSeungtae Yoo, Sang Wook Jin, Jung Lim Kim, et al.
Plos One|May 29, 2015
Correction: AGAPE (Automated Genome Analysis PipelinE) for Pan-Genome Analysis of Saccharomyces cerevisiaeGiltae Song, Benjamin J A Dickins, Janos Demeter, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|June 13, 2025
Gene Spatial Integration: enhancing spatial transcriptomics analysis via deep learning and batch effect mitigationRian Pratama, Jason Hilton, J Michael Cherry, et al.
Briefings in Bioinformatics|January 22, 2025
Therapeutic gene target prediction using novel deep hypergraph representation learningKibeom Kim, Juseong Kim, Minwook Kim, et al.
Plos One|June 25, 2021
Predicting aptamer sequences that interact with target proteins using an aptamer-protein interaction classifier and a Monte Carlo tree search approachGwangho Lee, Gun Hyuk Jang, Ho Young Kang, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 4, 2009
Evolutionary history reconstruction for Mammalian complex gene clustersYu Zhang, Giltae Song, Tomás Vinar, et al.
BMC Oral Health|May 30, 2021
Authentication of differential gene expression in oral squamous cell carcinoma using machine learning applicationsRian Pratama, Jae Joon Hwang, Ji Hye Lee, et al.
Database : the Journal of Biological Databases and Curation|March 19, 2016
From one to many: expanding the Saccharomyces cerevisiae reference genome panelStacia R Engel, Shuai Weng, Gail Binkley, et al.
Scientific Reports|May 15, 2020
CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspectionDongpin Oh, J Seth Strattan, Junho K Hur, et al.
BMC Bioinformatics|November 27, 2023
AptaTrans: a deep neural network for predicting aptamer-protein interaction using pretrained encodersIncheol Shin, Keumseok Kang, Juseong Kim, et al.
International Ophthalmology|July 28, 2025
Enhancing central visual field loss representation with a hybrid unsupervised approachSeungtae Yoo, Sang Wook Jin, Jung Lim Kim, et al.
Plos One|May 29, 2015
Correction: AGAPE (Automated Genome Analysis PipelinE) for Pan-Genome Analysis of Saccharomyces cerevisiaeGiltae Song, Benjamin J A Dickins, Janos Demeter, et al.
Pageof 4