Comparative analysis of regression algorithms for drug response prediction using GDSC dataset
Abstract Background Drug response prediction can infer the relationship between an individual’s genetic profile and a drug, which can be used to determine the choice of treatment for an individual patient. Prediction of drug response is recently being performed using machine learning technology. How...
Saved in:
Main Authors: | Soojung Ha, Juho Park, Kyuri Jo |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
|
Series: | BMC Research Notes |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13104-024-07026-w |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Single-cell immunopathology of recurrent acute generalized exanthematous pustulosis associated with vancomycin
by: Eric M. Mukherjee, MD, PhD, et al.
Published: (2025-05-01) -
Comprehensive genomic and transcriptomic analyses of the anaerobic degradation of microcystin in Alcaligenes faecalis D04
by: Fei Yang, et al.
Published: (2025-01-01) -
Application of Gene Expression Programming and Support Vector Regression models to Modeling and Prediction Monthly precipitation
by: Abazar Solgi, et al.
Published: (2018-03-01) -
USING MULTIPLE LINEAR REGRESSIONS TO DERIVE CROPLAND AND PASTURE PROPORTION MAPS IN ROMANIA
by: DIANA DOGARU, et al.
Published: (2015-12-01) -
Di-Genic Inheritance in Genodermatoses: Insights from Two Consanguineous Cases in a Reference Lebanese Center within the Middle East and North Africa (MENA) Region
by: Ayat Kadhi, et al.
Published: (2025-01-01)