Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Gengjie Jia"'
Autor:
Chunrong Chen, Zhaoyuan He, Jin Zhao, Xuhui Zhu, Jiabao Li, Xinnan Wu, Zhongting Chen, Hailan Chen, Gengjie Jia
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Zoonotic infections, characterized with huge pathogen diversity, wide affecting area and great society harm, have become a major global public health problem. Early and accurate prediction of their outbreaks is crucial for disease
Externí odkaz:
https://doaj.org/article/2f75443c8b6f45d19a40f09c0748ff86
Autor:
Chen Chen, Lin Wang, Huimin Liu, Jing Liu, Wanyu Xu, Mengzhen Huang, Ningning Gou, Chu Wang, Haikun Bai, Gengjie Jia, Tana Wuyun
Publikováno v:
Horticultural Plant Journal, Vol 10, Iss 2, Pp 387-397 (2024)
Apricot has a long history of cultivation and has many varieties and types. The traditional variety identification methods are time-consuming and labor-consuming, posing grand challenges to apricot resource management. Tool development in this regard
Externí odkaz:
https://doaj.org/article/2df3a37c15c2444a90735cd2837cb5eb
Autor:
Gengjie Jia, Xue Zhong, Hae Kyung Im, Nathan Schoettler, Milton Pividori, D. Kyle Hogarth, Anne I. Sperling, Steven R. White, Edward T. Naureckas, Christopher S. Lyttle, Chikashi Terao, Yoichiro Kamatani, Masato Akiyama, Koichi Matsuda, Michiaki Kubo, Nancy J. Cox, Carole Ober, Andrey Rzhetsky, Julian Solway
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-19 (2022)
Asthma is a heterogeneous, complex syndrome that arises in individuals with various genetic and exposure variations. Here, the authors show that disease comorbidity patterns can serve as a surrogate for these variations, and identify asthma endotypes
Externí odkaz:
https://doaj.org/article/c0bc253f917a42f192232de999a0a2e9
Autor:
Anne Rivelli, Veronica Fitzpatrick, Sagar Chaudhari, Laura Chicoine, Gengjie Jia, Andrey Rzhetsky, Brian Chicoine
Publikováno v:
Journal of Patient-Centered Research and Reviews, Vol 9, Iss 1, Pp 58-63 (2022)
Findings from a recent study of the largest documented cohort of individuals with Down syndrome (DS) in the United States described prevalence of common disease conditions and strongly suggested significant disparity in mental health conditions among
Externí odkaz:
https://doaj.org/article/14ad0f5cc96d49afb7bd4afe2fda56a3
Autor:
Veronica Fitzpatrick, Anne Rivelli, Sagar Chaudhari, Laura Chicoine, Gengjie Jia, Andrey Rzhetsky, Brian Chicoine
Publikováno v:
Journal of Patient-Centered Research and Reviews, Vol 9, Iss 1, Pp 64-69 (2022)
A recent disease prevalence study of the largest documented Down syndrome (DS) cohort in the United States strongly suggested significant disparity in general infectious disease conditions among individuals with DS versus those without DS. In this fo
Externí odkaz:
https://doaj.org/article/ab43aad43c9a4710979ff34bdacf8cfb
Autor:
Anne Rivelli, Veronica Fitzpatrick, Danielle Wales, Laura Chicoine, Gengjie Jia, Andrey Rzhetsky, Brian Chicoine
Publikováno v:
Journal of Patient-Centered Research and Reviews, Vol 9, Iss 1, Pp 70-74 (2022)
Findings from a recent study describing prevalence of common disease conditions in the largest documented cohort of individuals with Down syndrome (DS) in the United States strongly suggested significant disparity in endocrine disorders among these i
Externí odkaz:
https://doaj.org/article/21d27177a4fc4a20a90b0451f57e31f3
Autor:
Brian Chicoine, Anne Rivelli, Veronica Fitzpatrick, Laura Chicoine, Gengjie Jia, Andrey Rzhetsky
Publikováno v:
Journal of Patient-Centered Research and Reviews, Vol 8, Iss 2, Pp 86-97 (2021)
Purpose: Given the current life expectancy and number of individuals living with Down syndrome (DS), it is important to learn common occurrences of disease conditions across the developmental lifespan. This study analyzed data from a large cohort of
Externí odkaz:
https://doaj.org/article/0c8153cfe74646fea231678bd3b1061e
Autor:
Gengjie Jia, Yu Li, Hanxin Zhang, Ishanu Chattopadhyay, Anders Boeck Jensen, David R. Blair, Lea Davis, Peter N. Robinson, Torsten Dahlén, Søren Brunak, Mikael Benson, Gustaf Edgren, Nancy J. Cox, Xin Gao, Andrey Rzhetsky
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
Disease heritability and genetic correlations between traits depend on genetics, the environment and their interaction. Here, Jia et al. compute disease prevalence curves and disease embeddings from electronic health records and impute heritability f
Externí odkaz:
https://doaj.org/article/6d34b36c86004f14891b25d4276eebf5
Publikováno v:
Metabolites, Vol 2, Iss 4, Pp 891-912 (2012)
Kinetic modeling of metabolic pathways has important applications in metabolic engineering, but significant challenges still remain. The difficulties faced vary from finding best-fit parameters in a highly multidimensional search space to incomplete
Externí odkaz:
https://doaj.org/article/13e5670796d646cfb26c68043a077aee
The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci
Autor:
Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy, Aniello Esposito, Hatem Ltaief, Chikashi Terao, Masato Akiyama, Koichi Matsuda, David E. Keyes, Hae Kyung Im, Takashi Gojobori, Yoichiro Kamatani, Michiaki Kubo, Nancy J. Cox, James Evans, Xin Gao, Andrey Rzhetsky
Publikováno v:
Nature Computational Science. 3:403-417
Human diseases are traditionally studied as singular, independent entities, limiting researchers’ capacity to view human illnesses as dependent states in a complex, homeostatic system. Here, using time-stamped clinical records of over 151 million u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62311458d5e900bd4d5a559bfcc97baf
https://doi.org/10.1038/s43588-023-00453-y
https://doi.org/10.1038/s43588-023-00453-y