Connection

HARI YALAMANCHILI to Computational Biology

This is a "connection" page, showing publications HARI YALAMANCHILI has written about Computational Biology.
Connection Strength

0.416
  1. A novel neural response algorithm for protein function prediction. BMC Syst Biol. 2012; 6 Suppl 1:S19.
    View in: PubMed
    Score: 0.287
  2. An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing data. Pac Symp Biocomput. 2018; 23:168-179.
    View in: PubMed
    Score: 0.105
  3. Extensive cryptic splicing upon loss of RBM17 and TDP43 in neurodegeneration models. Hum Mol Genet. 2016 12 01; 25(23):5083-5093.
    View in: PubMed
    Score: 0.024
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.