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BART (Binding Analysis for Regulation of Transcription) is a bioinformatics tool for predicting functional transcription factors (TFs) that bind at genomic cis-regulatory regions to regulate gene expression in the human or mouse genomes. Please visit here for newest introduction: http://faculty.virginia.edu/zanglab/bart
Scientific literature too complicated to understand? Flooded with too many news articles? Use TC,DR! to simplify the information overload about COVID-19!
An abstractive summarization tool that can condense documents and web pages using Bidirectional Auto-Regressive Encoders for Transformer or BART for short. It is a desktop application with a UI constructed with python.
This repository explores the use of advanced sequence-to-sequence networks and transformer models, such as BERT, BART, PEGASUS, and T5, for summarizing multi-text documents in the medical domain. It leverages extensive datasets like CORD-19 and a Biomedical Abstracts dataset from Hugging Face to fine-tune these models.
Evaluating BART and Synthetic Tree-Based Methods for the Estimation of Individual Causal Effects, final project for CM764 - Statistical Learning - Function Estimation at uWaterloo