Standout Papers

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and mod... 2019 2026 2021 2023 313
  1. iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data (2019)
    Zhen Chen, Pei Zhao et al. Briefings in Bioinformatics

Immediate Impact

1 by Nobel laureates 1 from Science/Nature 50 standout
Sub-graph 1 of 23

Citing Papers

Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model
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2 intermediate papers

Works of Jerico Revote being referenced

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites
2019
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data
2019 Standout

Author Peers

Author Last Decade Papers Cites
Jerico Revote 803 5 35 93 66 20 929
Ruchira S. Datta 659 6 51 101 69 13 918
Sebastian Bittrich 716 14 74 123 36 23 1.1k
Arun S. Konagurthu 673 2 37 59 18 29 839
Marcin J. Skwark 756 2 25 62 21 28 982
Matthew Bashton 838 1 43 101 32 25 1.0k
Nadav Brandes 723 3 10 89 35 16 954
Michael Bernhofer 606 1 43 30 26 14 969
Yang Li 792 22 133 12 28 985
Jörg Schaarschmidt 526 9 35 120 22 22 772
László Kaján 645 5 23 43 14 12 885

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