Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shen, Junbo"'
Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiven
Externí odkaz:
http://arxiv.org/abs/2412.01950
Signal peptide (SP) is a short peptide located in the N-terminus of proteins. It is essential to target and transfer transmembrane and secreted proteins to correct positions. Compared with traditional experimental methods to identify signal peptides,
Externí odkaz:
http://arxiv.org/abs/2312.08987
Publikováno v:
ISPRS International Journal of Geo-Information; Volume 12; Issue 6; Pages: 244
The consistency of geospatial data is of great significance for the application and updating of geographic information in web maps. Due to the multiple data sources and different temporal versions, the tile web maps usually meet the inconsistency que
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::e57cea185d82c06c1d9cb17999fbd3ef
Autor:
Shen J; Department of Computer Science and Engineering, CUHK, Hong Kong SAR, China.; Department of Computer Science and Engineering, Washington University, St. Louis, MO, US., Yu Q; Department of Computer Science and Engineering, CUHK, Hong Kong SAR, China., Chen S; Department of Computer Science and Engineering, CUHK, Hong Kong SAR, China.; The CUHK Shenzhen Research Institute, Shenzhen, China.; Georgia Institute of Technology, Atlanta, GA, US., Tan Q; Department of Computer Science and Engineering, CUHK, Hong Kong SAR, China., Li J; Department of Computer Science and Engineering, CUHK, Hong Kong SAR, China., Li Y; Department of Computer Science and Engineering, CUHK, Hong Kong SAR, China. liyu@cse.cuhk.edu.hk.; The CUHK Shenzhen Research Institute, Shenzhen, China. liyu@cse.cuhk.edu.hk.; Shanghai Artificial Intelligence Laboratory, Shanghai, China. liyu@cse.cuhk.edu.hk.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA. liyu@cse.cuhk.edu.hk.; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA. liyu@cse.cuhk.edu.hk.; Broad Institute of MIT and Harvard, Cambridge, MA, USA. liyu@cse.cuhk.edu.hk.
Publikováno v:
Nature computational science [Nat Comput Sci] 2024 Jan; Vol. 4 (1), pp. 29-42. Date of Electronic Publication: 2023 Dec 13.