Predicting the Reprogrammability of Human Cells Based on Transcriptome Data and SGD Classifier with Elastic-Net Regularization
G. Saygili, M. Turktas, C. Gurcan, L. G. Delogu, A. Yilmazer
This study predicts cell reprogramming outcomes using transcriptome data and an SGD classifier with Elastic-Net regularization, achieving 98% accuracy and 0.98 AUC.
bioRxiv · Jul 18, 2022 · PreprintBioengineering