Published March 19, 2025 | Version v1

SVM-based Transcription Factor motif models presented in the paper "Benchmarking PWM and SVM-based Models for Transcription Factor Binding Site Prediction: A Comparative Analysis on Synthetic and Biological Data"

Authors/Creators

  • 1. ROR icon University of Verona

Description

Support Vector Machine (SVM)-based transcription factor binding site models, trained on the entire ENCODE's transcription factor ChIP-seq dataset. The database is released along the paper "Benchmarking PWM and SVM-based Models for Transcription Factor Binding Site Prediction: A Comparative Analysis on Synthetic and Biological Data"

Files

Files (4.1 GB)

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md5:3c2c06abde30c6a708575e4cd53e68f1
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