@depin5135's saved articles

Generative modeling for RNA splicing predictions and design

1. Di Wu
2. Natalie Maus
3. Anupama Jha
4. Kevin Yang
5. Benjamin D Wales-McGrath
6. San Jewell
7. Anna Tangiyan
8. Peter Choi
9. Jacob R Gardner
10. Yoseph Barash

• Curated by eLife

  eLife Assessment

  TrASPr is an important contribution that leverages transformer models focused on regulatory regions to enhance predictions of tissue-specific splicing events. The evidence supporting the authors' claims is convincing, with rigorous analyses demonstrating improved performance relative to existing models, although some aspects of the evaluation would benefit from further clarification. This work will be of particular interest to researchers in computational genomics and RNA biology, as it offers both a refined predictive model and a new tool to designing RNA sequences for targeted splicing outcomes.

Reviewed by eLife

Incorporating exon-exon junction reads enhances differential splicing detection

1. Mai T. Pham
2. Michael J.G. Milevskiy
3. Jane E. Visvader
4. Yunshun Chen

To be, or not to be an intron evidence from entropy-based machine learning

1. Alessio Mancini
2. Emanuela Merelli
3. Marco Piangerelli
4. Sandra Pucciarelli
5. Leonardo Vito