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Project:
Cellular-Level Pilot
Description:
Allows classification of tumor type based on sequence data; these augment existing data quality control methods.
DESCRIPTION:
Allows classification of tumor type based on sequence data; these augment existing data quality control methods.
IMPACT: Augments existing data quality control methods.
INPUT DATA TYPE: Gene Expression
INPUT DATA FORMAT: Tabular
LEVEL OF DOCUMENTATION: Minimal
AVAILABLE ON GITHUB
Project:
Cellular-Level Pilot
Description:
Allows predictive classification of primary tumor type based on gene expression data.
DESCRIPTION:
Allows predictive classification of primary tumor type based on gene expression data.
IMPACT: Augments existing data quality control methods. Allows users to make predictions on previously unseen data.
PRIMARY PUBLICATION: TULIP: An RNA-Seq-based Primary Tumor Type Prediction Tool Using Convolutional Neural Networks
INPUT DATA TYPE: Gene Expression
INPUT DATA FORMAT: Tabular
LEVEL OF DOCUMENTATION: Moderate
AVAILABLE ON GITHUB
