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Johnathan Jia

Showing results (1-10 of 3) with videos related to

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Patterns (New York, N.Y.)|March 6, 2023
Deep learning for detecting and elucidating human T-cell leukemia virus type 1 integration in the human genomeHaodong Xu, Johnathan Jia, Hyun-Hwan Jeong, et al.
Genes|April 30, 2021
Investigating Cellular Trajectories in the Severity of COVID-19 and Their Transcriptional Programs Using Machine Learning ApproachesHyun-Hwan Jeong, Johnathan Jia, Yulin Dai, et al.
Innovation (Cambridge (Mass.))|July 26, 2022
Delineating COVID-19 immunological features using single-cell RNA sequencingWendao Liu, Johnathan Jia, Yulin Dai, et al.
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Showing results (1-10 of 3) with videos related to

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Pageof 1
Patterns (New York, N.Y.)|March 6, 2023
Deep learning for detecting and elucidating human T-cell leukemia virus type 1 integration in the human genomeHaodong Xu, Johnathan Jia, Hyun-Hwan Jeong, et al.
Genes|April 30, 2021
Investigating Cellular Trajectories in the Severity of COVID-19 and Their Transcriptional Programs Using Machine Learning ApproachesHyun-Hwan Jeong, Johnathan Jia, Yulin Dai, et al.
Innovation (Cambridge (Mass.))|July 26, 2022
Delineating COVID-19 immunological features using single-cell RNA sequencingWendao Liu, Johnathan Jia, Yulin Dai, et al.
Pageof 1