You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: Nov 4, 2025

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
Published on: February 23, 2024
Researchers can now predict cancer treatment success with 80% accuracy using transcriptome analysis. This method identifies gene pairs that impact cell survival and tumor treatment evasion, improving personalized medicine strategies.
Area of Science:
Background:
Purpose of the Study:
Main Methods:
03:08Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
Main Results:
Conclusions: