Unsupervised Representation Learning for Proteochemometric Modeling.

Kim PT, Winter R, Clevert DA

Open source

DOI
10.3390/ijms222312882
Published
2021 Nov 28
Container
International journal of molecular sciences
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/ijms222312882,
  title = {Unsupervised Representation Learning for Proteochemometric Modeling.},
  author = {Kim PT and Winter R and Clevert DA},
  year = {2021},
  journal = {International journal of molecular sciences},
  doi = {10.3390/ijms222312882},
  url = {https://doi.org/10.3390/ijms222312882}
}

RIS

TY  - JOUR
TI  - Unsupervised Representation Learning for Proteochemometric Modeling.
AU  - Kim PT
AU  - Winter R
AU  - Clevert DA
PY  - 2021
JO  - International journal of molecular sciences
DO  - 10.3390/ijms222312882
UR  - https://doi.org/10.3390/ijms222312882
ER  - 

APA

PT, K., R, W., & DA, C. (2021). Unsupervised Representation Learning for Proteochemometric Modeling.. International journal of molecular sciences. https://doi.org/10.3390/ijms222312882

Source records