Skip to content
DraconiticResearch
Search Sources API
194,164 studies31 sourcesUpdated 7 min ago
Peer-reviewedCC BYBriefings in bioinformatics

From conservation scores to language models: a feature engineering perspective on machine learning for genetic variant interpretation

Related

  1. Data-driven strategies for enzyme engineering: From machine learning to protein language models
    Shaozhen Ding, Peng Wu, Shubo Li +6
    ChemRxivPreprintCC BY-NC-NDFull textMolecular biology & gene regulationChemRxiv
  2. Structural conservation of the gabapentinoid binding site in human and Caenorhabditis elegans α2δ subunits: a docking and molecular dynamics perspective
    J. Sultana, L. Mkrtchyan, J. D. Castano +2
    bioRxivPreprintAll rights reservedFull textMolecular biology & gene regulationbioRxiv
  3. A comparative analysis of graph neural networks and classical machine learning for carbapenem-resistance prediction and genomic interpretation in Acinetobacter baumannii
    Irfan Sharif Shaik, Morteza Sarmadi
    Frontiers in bioinformaticsPeer-reviewedCC BYFull textMolecular biology & gene regulationEurope PMC
  4. Bridging large language model-based agents and workflow languages for automated multi-perspective analysis of single-cell RNA sequencing data
    Yoshinori Hayakawa, Haruka Ozaki
    Bioinformatics AdvancesPeer-reviewedCC BY 4.0Full text1 citedMolecular biology & gene regulationPMC
  5. From Language-Cognition Coupling to AI Foundations: An Evolutionary Perspective on 13,415 SNVs in 33 Language/Cognition Genes
    Z. Zhang, Y. Xu
    bioRxivPreprintCC BY-NCFull textMolecular biology & gene regulationbioRxiv
BibTeX
@article{anon2026from,
  title = {{From conservation scores to language models: a feature engineering perspective on machine learning for genetic variant interpretation}},
  journal = {Briefings in bioinformatics},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13654181},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - From conservation scores to language models: a feature engineering perspective on machine learning for genetic variant interpretation
PY  - 2026
DA  - 2026/09/01
JO  - Briefings in bioinformatics
UR  - https://europepmc.org/article/PMC/PMC13654181
SN  - 1467-5463
SN  - 1477-4054
ER  -