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Pedro J Ballester
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Pedro J Ballester
Showing
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Pedro J Ballester
'
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1
Editorial: Intelligent Systems for Genome Functional Annotations
by
Shandar Ahmad
,
Pedro
J
.
Ballester
,
Pedro
J
.
Ballester
,
Pedro
J
.
Ballester
,
Pedro
J
.
Ballester
,
Michael Fernandez
Published 2020-08-01
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Article
2
Machine Learning for Molecular Modelling in Drug Design
by
Pedro
J
.
Ballester
Published 2019-06-01
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Article
3
Artificial intelligence for the next generation of precision oncology
by
Pedro
J
.
Ballester
,
Javier Carmona
Published 2021-08-01
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Article
4
Predicting the Reliability of Drug-target Interaction Predictions with Maximum Coverage of Target Space
by
Antonio Peón
,
Stefan Naulaerts
,
Pedro
J
.
Ballester
Published 2017-06-01
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Article
5
Identification and Validation of Carbonic Anhydrase II as the First Target of the Anti-Inflammatory Drug Actarit
by
Ghita Ghislat
,
Taufiq Rahman
,
Pedro
J
.
Ballester
Published 2020-11-01
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Article
6
Paclitaxel Response Can Be Predicted With Interpretable Multi-Variate Classifiers Exploiting DNA-Methylation and miRNA Data
by
Alexandra Bomane
,
Anthony Gonçalves
,
Pedro
J
.
Ballester
Published 2019-10-01
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Article
7
Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data [version 2; referees: 2 approved]
by
Linh Nguyen
,
Cuong C Dang
,
Pedro
J
.
Ballester
Published 2017-03-01
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Article
8
Concise Polygenic Models for Cancer-Specific Identification of Drug-Sensitive Tumors from Their Multi-Omics Profiles
by
Stefan Naulaerts
,
Michael P. Menden
,
Pedro
J
.
Ballester
Published 2020-06-01
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Article
9
Unearthing new genomic markers of drug response by improved measurement of discriminative power
by
Cuong C. Dang
,
Antonio Peón
,
Pedro
J
.
Ballester
Published 2018-02-01
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Article
10
How reliable are ligand-centric methods for Target Fishing?
by
Antonio ePeon
,
Cuong C Dang
,
Pedro
J
Ballester
Published 2016-04-01
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Article
11
istar: a web platform for large-scale protein-ligand docking.
by
Hongjian Li
,
Kwong-Sak Leung
,
Pedro
J
Ballester
,
Man-Hon Wong
Published 2014-01-01
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Article
12
Low-Quality Structural and Interaction Data Improves Binding Affinity Prediction via Random Forest
by
Hongjian Li
,
Kwong-Sak Leung
,
Man-Hon Wong
,
Pedro
J
.
Ballester
Published 2015-06-01
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Article
13
Predicting Synergism of Cancer Drug Combinations Using NCI-ALMANAC Data
by
Pavel Sidorov
,
Stefan Naulaerts
,
Stefan Naulaerts
,
Jérémy Ariey-Bonnet
,
Eddy Pasquier
,
Pedro
J
.
Ballester
Published 2019-07-01
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Article
14
The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction
by
Hongjian Li
,
Jiangjun Peng
,
Yee Leung
,
Kwong-Sak Leung
,
Man-Hon Wong
,
Gang Lu
,
Pedro
J
.
Ballester
Published 2018-03-01
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Article
15
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties.
by
Michael P Menden
,
Francesco Iorio
,
Mathew Garnett
,
Ultan McDermott
,
Cyril H Benes
,
Pedro
J
Ballester
,
Julio Saez-Rodriguez
Published 2013-01-01
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Article
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