A machine learning-based gene signature of response to the novel alkylating agent LP-184 distinguishes its potential tumor indications

A machine learning-based gene signature of response to the novel alkylating agent LP-184 distinguishes its potential tumor indications

Abstract Background Non-targeted cytotoxics with anticancer activity are often developed through preclinical stages using response criteria observed in cell lines and xenografts. A panel of the NCI-60 cell lines is frequently the first line to define tumor types that are optimally responsive. Open d...

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Bibliographic Details
Main Authors: Umesh Kathad, Aditya Kulkarni, Joseph Ryan McDermott, Jordan Wegner, Peter Carr, Neha Biyani, Rama Modali, Jean-Philippe Richard, Panna Sharma, Kishor Bhatia
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Bioinformatics
Subjects:
Acylfulvene
LP-184
PTGR1
Cancer
Machine learning
Gene signature
Online Access:https://doi.org/10.1186/s12859-021-04040-8

Internet

https://doi.org/10.1186/s12859-021-04040-8

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