The University of Chicago Header Logo

Connection

Yang Li to RNA Splicing

Back to Details
This is a "connection" page, showing publications Yang Li has written about RNA Splicing.
Yang Li
Connection Strength
2.203
RNA Splicing
  1. Predicting RNA splicing from DNA sequence using Pangolin. Genome Biol. 2022 04 21; 23(1):103.
    View in: PubMed
    Score: 0.729
  2. Identification and Quantification of Splicing Quantitative Trait Loci. Methods Mol Biol. 2020; 2082:51-62.
    View in: PubMed
    Score: 0.622
  3. RNA splicing is a primary link between genetic variation and disease. Science. 2016 Apr 29; 352(6285):600-4.
    View in: PubMed
    Score: 0.482
  4. Profiling lariat intermediates reveals genetic determinants of early and late co-transcriptional splicing. Mol Cell. 2022 12 15; 82(24):4681-4699.e8.
    View in: PubMed
    Score: 0.190
  5. Predicting Splicing from Primary Sequence with Deep Learning. Cell. 2019 01 24; 176(3):535-548.e24.
    View in: PubMed
    Score: 0.145
  6. Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer's disease susceptibility. Nat Genet. 2018 11; 50(11):1584-1592.
    View in: PubMed
    Score: 0.036
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.