MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity

Hakutulokset

• Aktiivinen

  INTERVENE: International consortium for integrative genomics prediction

  Kaski, S.

  01/01/2021 → 31/12/2025

  Projekti: EU: Framework programmes funding

  • Models 100%
  • Deep Learning 49%
  • Real World 29%
  • Diagnosis 25%
  • Detection 23%
• Päättynyt

  DATALIT: Data Literacy for Responsible Decision-Making

  Marttinen, P., Ji, S., Gröhn, T., Honkamaa, J., Kumar, Y., Pöllänen, A., Ojala, F., Raj, V. & Tiwari, P.

  01/10/2020 → 30/09/2023

  Projekti: Academy of Finland: Strategic research funding

  • Models 100%
  • Deep Learning 43%
  • Machine Learning 26%
  • Real World 26%
  • Application 24%

• eMOM: eMOM

  Marttinen, P., Alizadeh Ashrafi, R., Hizli, C. & Zhang, G.

  05/02/2018 → 31/01/2023

  Projekti: Business Finland: Other research funding

  • Deep Learning 100%
  • Models 81%
  • Residual Neural Network 54%
  • Database 48%
  • Algorithms 43%

• -: Älykäs kasvintuotanto: Aineistoja integroiva koneoppiminen yhdistyy satosimulaattoreihin

  Mamitsuka, H., Nariman Zadeh, H., Strahl, J., Guvenc, B., Ji, S., Rissanen, S., Honkamaa, J., Pöllänen, A., Hiremath, S. & Ojala, F.

  01/01/2018 → 31/12/2022

  Projekti: Academy of Finland: Other research funding

  • Models 100%
  • Deep Learning 51%
  • Application 34%
  • Graph Convolutional Network 31%
  • Residual Neural Network 28%