Zobrazeno 1 - 3
of 3
pro vyhledávání: '"GEO, the Gene Expression Omnibus"'
Publikováno v:
Translational Oncology
Translational Oncology, Vol 16, Iss, Pp 101314-(2022)
Translational Oncology, Vol 16, Iss, Pp 101314-(2022)
Highlights • Categorization of DLBCL into four clusters based on survival- and ferroptosis-related factors. • Establishment of an efficient risk scoring model is established for patients with DLBCL. • Ferroptosis-based risk scoring model reveal
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 2329-2346 (2021)
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 2329-2346 (2021)
Graphical abstract
The progress of artificial intelligence algorithms and massive data provide new ideas and choices for individual mortality risk prediction for cancer patients. The current research focused on depict immune gene related regulat
The progress of artificial intelligence algorithms and massive data provide new ideas and choices for individual mortality risk prediction for cancer patients. The current research focused on depict immune gene related regulat
Autor:
Zhang Z; Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China., He T; Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China., Huang L; Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China., Li J; Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China., Wang P; Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China.
Publikováno v:
Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2021 Apr 12; Vol. 19, pp. 2329-2346. Date of Electronic Publication: 2021 Apr 12 (Print Publication: 2021).