CTULIP: application of a human-based RNA-seq primary tumor classification tool for cross-species primary tumor classification in canine.

ABSTRACT:

Introduction

The domestic dog, Canis familiaris, is quickly gaining traction as an advantageous model for use in the study of cancer, one of the leading causes of death worldwide. Naturally occurring canine cancers share clinical, histological, and molecular characteristics with the corresponding human diseases.

Methods

In this study, we take a deep-learning approach to test how similar the gene expression profile of canine glioma and bladder cancer (BLCA) tumors are to the corresponding human tumors. We likewise develop a tool for identifying misclassified or outlier samples in large canine oncological datasets, analogous to that which was developed for human datasets.

Results

We test a number of machine learning algorithms and found that a convolutional neura

SUBMITTER: Long J 

PROVIDER: S-EPMC10397722 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature