[Research Grant] Developing machine learning platform for multi-omics data analysis

Jung Lab

2020년 7월 2일

Prof. Sungwon Jung's new project "Development of extensible machine learning platform for multi-omics data analysis" was granted $840K for two years from Korea National Research Foundation. The project is a collaboration with School of Computer Science and Engineering, Kyungpook National University and Department of Biology, Kyunghee University.

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[New publication] Advances in functional analysis of the microbiome: Integrating metabolic modeling, metabolite prediction, and pathway inference with NextGeneration Sequencing data

Our new paper has been published in Journal of Microbiology. This review article discusses recent advancements in microbiome functional...

[New publication] PredCMB: predicting changes in microbial metabolites based on the gene–metabolite network analysis of shotgun metagenome data

Our new paper has been published in Bioinformatics. The paper introduces PredCMB, a novel computational method for predicting changes in...

[New publication] Advances in modeling cellular state dynamics: integrating omics data and predictive techniques

Our new paper has been published in Animal Cells and Systems. Sungwon Jung. "Advances in modeling cellular state dynamics: integrating...

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Jung Lab

2월 8일1분 분량

[New publication] Advances in functional analysis of the microbiome: Integrating metabolic modeling, metabolite prediction, and pathway inference with NextGeneration Sequencing data

Our new paper has been published in Journal of Microbiology. This review article discusses recent advancements in microbiome functional...

조회수 5회댓글 0개

Jung Lab

2월 3일1분 분량

[New publication] PredCMB: predicting changes in microbial metabolites based on the gene–metabolite network analysis of shotgun metagenome data

Our new paper has been published in Bioinformatics. The paper introduces PredCMB, a novel computational method for predicting changes in...

조회수 7회댓글 0개