Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Jingbo Xia"'
PheSeq, a Bayesian deep learning model to enhance and interpret the gene-disease association studies
Autor:
Xinzhi Yao, Sizhuo Ouyang, Yulong Lian, Qianqian Peng, Xionghui Zhou, Feier Huang, Xuehai Hu, Feng Shi, Jingbo Xia
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-26 (2024)
Abstract Despite the abundance of genotype-phenotype association studies, the resulting association outcomes often lack robustness and interpretations. To address these challenges, we introduce PheSeq, a Bayesian deep learning model that enhances and
Externí odkaz:
https://doaj.org/article/c8f981816f9e4572905aeda0fed724b8
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract It is vital to investigate the complex mechanisms underlying tumors to better understand cancer and develop effective treatments. Metabolic abnormalities and clinical phenotypes can serve as essential biomarkers for diagnosing this challengi
Externí odkaz:
https://doaj.org/article/d47af246888d4930839167016b3c888c
Publikováno v:
Sensors, Vol 23, Iss 15, p 6982 (2023)
Defect detection in steel surface focuses on accurately identifying and precisely locating defects on the surface of steel materials. Methods of defect detection with deep learning have gained significant attention in research. Existing algorithms ca
Externí odkaz:
https://doaj.org/article/988dd7fbc47f4964b6bacb9d664e57fd
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss S3, Pp 1-11 (2020)
Abstract Background It is of utmost importance to investigate novel therapies for cancer, as it is a major cause of death. In recent years, immunotherapies, especially those against immune checkpoints, have been developed and brought significant impr
Externí odkaz:
https://doaj.org/article/0f4a6bf34bc44f5b83a14a14e830021c
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 19, p 11189 (2022)
We aimed to investigate the efficacy of exercise on preventing arterial stiffness and the potential role of sympathetic nerves within perivascular adipose tissue (PVAT) in pressure-overload-induced heart failure (HF) mice. Eight-week-old male mice we
Externí odkaz:
https://doaj.org/article/6fb709c25aa747aab8b458bcd156fc05
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 6, p e28247 (2021)
BackgroundNatural language processing has long been applied in various applications for biomedical knowledge inference and discovery. Enrichment analysis based on named entity recognition is a classic application for inferring enriched associations i
Externí odkaz:
https://doaj.org/article/02786d528f36450bac1651476c7bcbd2
Autor:
Kaiyin Zhou, YuxingWang, Sheng Zhang, Mina Gachloo, Jin-Dong Kim, Qi Luo, Kevin Bretonnel Cohen, Jingbo Xia
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 3, Pp 1376-1391 (2019)
For discovery of new usage of drugs, the function type of their target genes plays an important role, and the hypothesis of "Antagonist-GOF" and "Agonist-LOF" has laid a solid foundation for supporting drug repurposing. In this research, an active ge
Externí odkaz:
https://doaj.org/article/9153bcc794ef4801b22c5da7002dc5af
Publikováno v:
IEEE Access, Vol 5, Pp 18179-18186 (2017)
Traffic classification is currently a significant challenge for network monitoring and management. Feature selection is an effective method to realize dimension reduction and decrease redundant information. To realize accurate traffic classification
Externí odkaz:
https://doaj.org/article/1cd8f327ac144f9c982ed57155daa4ed
Publikováno v:
Genomics & Informatics, Vol 17, Iss 2 (2019)
Prediction of the relations among drug and other molecular or social entities is the main knowledge discovery pattern for the purpose of drug-related knowledge discovery. Computational approaches have combined the information from different resources
Externí odkaz:
https://doaj.org/article/1bf643d809ff481593c799a6201e5df0
Publikováno v:
Data, Vol 4, Iss 2, p 85 (2019)
With the massive amounts of medical data made available online, language technologies have proven to be indispensable in processing biomedical and molecular biology literature, health data or patient records. With huge amount of reports, evaluating t
Externí odkaz:
https://doaj.org/article/894e9f3d5a0d42f58438cbda39286be2