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Project:
Cellular-Level Pilot
Description:
A human-data-trained model for canine primary tumor prediction using gene expression data.
DESCRIPTION:
A human-data-trained model for canine primary tumor prediction using gene expression data.
IMPACT: Enables identification of primary tumor types in misclassified or outlier samples in canine oncological datasets.
PRIMARY PUBLICATION: cTULIP: application of a human-based RNA-seq primary tumor classification tool for cross-species primary tumor classification in canine
INPUT DATA TYPE: Gene Expression
INPUT DATA FORMAT: Tabular
LEVEL OF DOCUMENTATION: Moderate
AVAILABLE ON GITHUB
