Exploring biomarkers and transcriptional factors in type 2 diabetes by comprehensive bioinformatics analysis on RNA-Seq and scRNA-Seq data
Author:
Publisher
AME Publishing Company
Subject
General Medicine
Link
https://atm.amegroups.com/article/download/102138/pdf
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Detecting key genes relative expression orderings as biomarkers for machine learning-based intelligent screening and analysis of type 2 diabetes mellitus;Expert Systems with Applications;2024-12
2. Single-Cell Transcriptomic Analysis Revealed the Cell Population Changes and Cell–Cell Communication in the Liver of a Carnivorous Fish in Response to High-Carbohydrate Diet;The Journal of Nutrition;2024-08
3. The Potential Role of GJA1 and SPP1 Expressed by the Endometrium Based on Single Cell Transcriptome Analysis in Endometrial Infertility;Clinical and Experimental Obstetrics & Gynecology;2024-01-17
4. Single-cell RNA sequencing of peripheral blood mononuclear cells reveals complex cellular signalling signatures of metformin treatment type 2 diabetes mellitus;2024-01-04
5. Identification of prognostic coagulation-related signatures in clear cell renal cell carcinoma through integrated multi-omics analysis and machine learning;Computers in Biology and Medicine;2024-01
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