A Machine Learning Analysis of Prognostic Genes Associated With Allograft Tolerance After Renal Transplantation.

Authors:
Li Z; Lu Z; Hu C; Zhang Y; Chen Y and 6 more

Journal:
Cell Transplant

Publication Year: 2023

DOI:
10.1177/09636897231195116

PMCID:
PMC10475226

PMID:
37650419

Journal Information

Full Title: Cell Transplant

Abbreviation: Cell Transplant

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Transplantation

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article."

Evidence found in paper:

"Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by National Key Research and Development Program of China (contract no. 2018YFA0902801), Guangdong Basic and Applied Basic Research Foundation (contract no. 2020A1515010152), public health research project in Futian District, Shenzhen (grant no. FTWS2020026), and the research start-up fee for the Eighth Affiliated Hospital, Sun Yat-sen University (grant no. zdbykyqdf005)."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025