Are we there yet? A machine learning architecture to predict organotropic metastases

Are we there yet? A machine learning architecture to predict organotropic metastases

Abstract Background & Aims Cancer metastasis into distant organs is an evolutionarily selective process. A better understanding of the driving forces endowing proliferative plasticity of tumor seeds in distant soils is required to develop and adapt better treatment systems for this lethal stage...

Full description

Bibliographic Details
Main Authors: Michael Skaro, Marcus Hill, Yi Zhou, Shannon Quinn, Melissa B. Davis, Andrea Sboner, Mandi Murph, Jonathan Arnold
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Medical Genomics
Subjects:
Cancer
Metastatic organotropism
Machine learning
Transcriptomic profiling
Online Access:https://doi.org/10.1186/s12920-021-01122-7

Similar Items

Similar Items