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This is a "connection" page, showing publications co-authored by MIRJANA MALETIC-SAVATIC and HARI YALAMANCHILI.
MIRJANA MALETIC-SAVATIC
Connection Strength
0.457
HARI YALAMANCHILI
  1. PolyAMiner-Bulk is a deep learning-based algorithm that decodes alternative polyadenylation dynamics from bulk RNA-seq data. Cell Rep Methods. 2024 Feb 26; 4(2):100707.
    View in: PubMed
    Score: 0.237
  2. PolyAMiner-Bulk: A Machine Learning Based Bioinformatics Algorithm to Infer and Decode Alternative Polyadenylation Dynamics from bulk RNA-seq data. bioRxiv. 2023 Jan 24.
    View in: PubMed
    Score: 0.220
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.