TULIP: An RNA-seq-based Primary Tumor Type Prediction Tool Using Convolutional Neural Networks
Background: With cancer as one of the leading causes of death worldwide, accurate primary tumor type prediction is critical in identifying genetic factors that can inhibit or slow tumor progression. There have been efforts to categorize primary tumor types with gene expression data using machine lea...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2022-12-01
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| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.1177/11769351221139491 |