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Tags: Bioinformatics
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TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

  • self-attention
  • compound-protein-interaction
  • transformercpi
  • structure-free-virtual-sreening

Interpretable bilinear attention network with domain adaptation improves drug-target prediction.

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

  • protein
  • protein-sequences
  • protein-design
  • representation-learning

NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.

  • r
  • neuroanatomy-toolbox
  • cran
  • neuron

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning