Predicting molecular activity on nuclear receptors by multitask neural networks-Reference-Cited by-同舟云学术

Predicting molecular activity on nuclear receptors by multitask neural networks

Published:2020-12-09 Issue: Volume: Page:
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Valsecchi Cecile¹^ORCID,Collarile Magda¹,Grisoni Francesca²^ORCID,Todeschini Roberto¹^ORCID,Ballabio Davide¹^ORCID,Consonni Viviana¹^ORCID

Affiliation:

1. Milano Chemometrics and QSAR Research Group, Department of Earth and Environmental Sciences University of Milano Bicocca P.za della Scienza 1 Milan 20126 Italy

2. Department of Chemistry and Applied Biosciences ETH Zurich Vladimir‐Prelog‐Weg 4 Zurich 8049 Switzerland

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cem.3325

Reference70 articles.

1. Deep learning

2. QSAR Modeling: Where Have You Been? Where Are You Going To?

3. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

4. ImageNet Large Scale Visual Recognition Challenge

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