Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Yuh-jyh Hu"'
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-17 (2019)
Abstract Background Although various machine learning-based predictors have been developed for estimating protein–protein interactions, their performances vary with dataset and species, and are affected by two primary aspects: choice of learning al
Externí odkaz:
https://doaj.org/article/1e5a57f41f81443a8f90bb7b945bd75c
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e84638 (2014)
An increase in the availability of data on the influenza A viruses (IAV) has enabled the identification of the potential determinants of IAV host specificity using computational approaches. In this study, we proposed an alternative approach, based on
Externí odkaz:
https://doaj.org/article/a82901ce2b8d4897b4b2133dc4c31f45
Publikováno v:
Mycoses; Jan2024, Vol. 67 Issue 1, p1-8, 8p
Publikováno v:
The Journal of Arthroplasty. 37:132-141
Background The criteria outlined in the International Consensus Meeting (ICM) in 2018, which were prespecified and fixed, have been commonly practiced by clinicians to diagnose periprosthetic joint infection (PJI). We developed a machine learning (ML
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0dabf01bc4dfea2f25cb587f0c7a195
https://doi.org/10.1016/j.arth.2021.09.005
https://doi.org/10.1016/j.arth.2021.09.005
Autor:
Kuan Hsi Chen, Yuh Jyh Hu
Publikováno v:
International Journal of Molecular Sciences, Vol 22, Iss 6393, p 6393 (2021)
International Journal of Molecular Sciences
Volume 22
Issue 12
International Journal of Molecular Sciences
Volume 22
Issue 12
Protein–protein interactions (PPIs) are the basis of most biological functions determined by residue–residue interactions (RRIs). Predicting residue pairs responsible for the interaction is crucial for understanding the cause of a disease and dru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::251f217eb21eb2596c36ceb4dc652875
https://pubmed.ncbi.nlm.nih.gov/34203772
https://pubmed.ncbi.nlm.nih.gov/34203772
Autor:
Yuh-Jyh, Hu
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2131
One of the major challenges in the field of vaccine design is identifying B-cell epitopes in continuously evolving viruses. Various tools have been developed to predict linear or conformational epitopes, each relying on different physicochemical prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f206e7071bbdf081d45d276ef9d62050
https://pubmed.ncbi.nlm.nih.gov/32162268
https://pubmed.ncbi.nlm.nih.gov/32162268
Autor:
Yuh Jyh Hu
Publikováno v:
Methods in Molecular Biology ISBN: 9781071603888
One of the major challenges in the field of vaccine design is identifying B-cell epitopes in continuously evolving viruses. Various tools have been developed to predict linear or conformational epitopes, each relying on different physicochemical prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a0836f8a91870713541452e41fe4aae
https://doi.org/10.1007/978-1-0716-0389-5_22
https://doi.org/10.1007/978-1-0716-0389-5_22
Autor:
Hsin-Ting Chung, Yuh-Jyh Hu
Publikováno v:
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4b5c297386bec72906de96a23d5ab94
https://doi.org/10.5220/0008878401090116
https://doi.org/10.5220/0008878401090116
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-17 (2019)
BMC Bioinformatics
BMC Bioinformatics
Background Although various machine learning-based predictors have been developed for estimating protein–protein interactions, their performances vary with dataset and species, and are affected by two primary aspects: choice of learning algorithm,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efc03bbe811acf578d49405fc0fc9a9c
https://doi.org/10.1186/s12859-019-2907-1
https://doi.org/10.1186/s12859-019-2907-1
BACKGROUND The mortality rate of cirrhotic patients in intensive care units (ICUs) is usually high. Analyzing high dimensional data and incorporating accurate life expectancy indices using machine learning methods may improve the accuracy of the pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a79f7f8500da2278af2f2c6901914902
https://doi.org/10.2196/preprints.11009
https://doi.org/10.2196/preprints.11009