@depin5135's saved articles

Generative modeling for RNA splicing prediction 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 revisions strengthen the manuscript by clarifying methodology and expanding analyses across exon and intron sizes, and the evidence supporting TrASPr's predictive performance is compelling. This work will be of interest to researchers in computational genomics and RNA biology, offering an improved model for splicing prediction and a promising approach to RNA sequence design.

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