iBitter-Stack: A Multi-Representation Ensemble Learning Model for Accurate Bitter Peptide Identification

Documenti analoghi

• Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions
  di: Ferri, Francesco, et al.
  Pubblicazione: (2024)
• Protein-environment-sensitive computational epitope accessibility analysis from antibody dose-response data
  di: Tschimmel, Dominik, et al.
  Pubblicazione: (2024)
• A Bayesian mixed-effects model to evaluate the determinants of COVID-19 vaccine uptake in the US
  di: Dey, Asim K.
  Pubblicazione: (2025)
• Automating LC-MS/MS mass chromatogram quantification. Wavelet transform based peak detection and automated estimation of peak boundaries and signal-to-noise ratio using signal processing methods
  di: Rupprecht, Florian, et al.
  Pubblicazione: (2021)
• GWAS Summary Statistic Tool: A Meta-Analysis and Parsing Tool for Polygenic Risk Score Calculation
  di: Muneeb, Muhammad, et al.
  Pubblicazione: (2026)