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Raquel Rodríguez-Pérez
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Raquel Rodríguez-Pérez
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Raquel Rodríguez-Pérez
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1
Feature importance correlation from machine learning indicates functional relationships between proteins and similar compound binding characteristics
by
Raquel
Rodríguez
-
Pérez
,
Jürgen Bajorath
Published 2021-07-01
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Article
2
Prediction of Compound Profiling Matrices, Part II: Relative Performance of Multitask Deep Learning and Random Forest Classification on the Basis of Varying Amounts of Training Dat...
by
Raquel
Rodríguez
-
Pérez
,
Jürgen Bajorath
Published 2018-09-01
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Article
3
Multitask Machine Learning for Classifying Highly and Weakly Potent Kinase Inhibitors
by
Raquel
Rodríguez
-
Pérez
,
Jürgen Bajorath
Published 2019-02-01
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Article
4
Support Vector Machine Classification and Regression Prioritize Different Structural Features for Binary Compound Activity and Potency Value Prediction
by
Raquel
Rodríguez
-
Pérez
,
Martin Vogt
,
Jürgen Bajorath
Published 2017-10-01
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Article
5
Assessing the information content of structural and protein–ligand interaction representations for the classification of kinase inhibitor binding modes via machine learning and act...
by
Raquel
Rodríguez
-
Pérez
,
Filip Miljković
,
Jürgen Bajorath
Published 2020-05-01
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Article
6
Prediction of Compound Profiling Matrices Using Machine Learning
by
Raquel
Rodríguez
-
Pérez
,
Tomoyuki Miyao
,
Swarit Jasial
,
Martin Vogt
,
Jürgen Bajorath
Published 2018-04-01
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Article
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