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Jinmeng Jia

Showing results (1-10 of 14) with videos related to

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Science China. Life Sciences|June 23, 2017
Towards efficiency in rare disease research: what is distinctive and important?Jinmeng Jia, Tieliu Shi
BMC Bioinformatics|April 28, 2018
An improved approach to infer protein-protein interaction based on a hierarchical vector space modelJiongmin Zhang, Ke Jia, Jinmeng Jia, et al.
Orphanet Journal of Rare Diseases|May 1, 2020
Genotype-phenotype correlations of Berardinelli-Seip congenital lipodystrophy and novel candidate genes predictionMeng Ren, Jingru Shi, Jinmeng Jia, et al.
Frontiers in Genetics|December 20, 2018
RDAD: A Machine Learning System to Support Phenotype-Based Rare Disease DiagnosisJinmeng Jia, Ruiyuan Wang, Zhongxin An, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
CASHeart: A database of single cells chromatin accessibility for the human heartQun Jiang, Xiaoyang Chen, Zijing Gao, et al.
Frontiers in Pharmacology|November 5, 2019
Genotype-Phenotype Association Analysis Reveals New Pathogenic Factors for Osteogenesis Imperfecta DiseaseJingru Shi, Meng Ren, Jinmeng Jia, et al.
Frontiers in Pharmacology|October 2, 2019
Systematically Analyzing the Pathogenic Variations for Acute Intermittent PorphyriaYibao Fu, Jinmeng Jia, Lishu Yue, et al.
Frontiers in Pharmacology|March 3, 2020
Corrigendum: Genotype-Phenotype Association Analysis Reveals New Pathogenic Factors for Osteogenesis Imperfecta DiseaseJingru Shi, Meng Ren, Jinmeng Jia, et al.
Nature Communications|February 3, 2025
A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitionsXi Xi, Jiaqi Li, Jinmeng Jia, et al.
Bioinformatics (Oxford, England)|July 7, 2026
Benchmarking AI scientists for omics data-driven biological discoveryErpai Luo, Jinmeng Jia, Yifan Xiong, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Science China. Life Sciences|June 23, 2017
Towards efficiency in rare disease research: what is distinctive and important?Jinmeng Jia, Tieliu Shi
BMC Bioinformatics|April 28, 2018
An improved approach to infer protein-protein interaction based on a hierarchical vector space modelJiongmin Zhang, Ke Jia, Jinmeng Jia, et al.
Orphanet Journal of Rare Diseases|May 1, 2020
Genotype-phenotype correlations of Berardinelli-Seip congenital lipodystrophy and novel candidate genes predictionMeng Ren, Jingru Shi, Jinmeng Jia, et al.
Frontiers in Genetics|December 20, 2018
RDAD: A Machine Learning System to Support Phenotype-Based Rare Disease DiagnosisJinmeng Jia, Ruiyuan Wang, Zhongxin An, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
CASHeart: A database of single cells chromatin accessibility for the human heartQun Jiang, Xiaoyang Chen, Zijing Gao, et al.
Frontiers in Pharmacology|November 5, 2019
Genotype-Phenotype Association Analysis Reveals New Pathogenic Factors for Osteogenesis Imperfecta DiseaseJingru Shi, Meng Ren, Jinmeng Jia, et al.
Frontiers in Pharmacology|October 2, 2019
Systematically Analyzing the Pathogenic Variations for Acute Intermittent PorphyriaYibao Fu, Jinmeng Jia, Lishu Yue, et al.
Frontiers in Pharmacology|March 3, 2020
Corrigendum: Genotype-Phenotype Association Analysis Reveals New Pathogenic Factors for Osteogenesis Imperfecta DiseaseJingru Shi, Meng Ren, Jinmeng Jia, et al.
Nature Communications|February 3, 2025
A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitionsXi Xi, Jiaqi Li, Jinmeng Jia, et al.
Bioinformatics (Oxford, England)|July 7, 2026
Benchmarking AI scientists for omics data-driven biological discoveryErpai Luo, Jinmeng Jia, Yifan Xiong, et al.
Pageof 2