Pedro J Ballester (Pedro Ballester)

ResearcherID Scopus Author ID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Machine Learning

Gene Expression

Top Venues

Journal of chemical information and modeling

Health data science

This page only lists publications with an associated author ORCID identifier.

Publications

Adeolu Ogunleye, Chayanit Piyawajanusorn, Ghita Ghislat, Pedro J Ballester
Large-Scale Machine Learning Analysis Reveals DNA Methylation and Gene Expression Response Signatures for Gemcitabine-Treated Pancreatic Cancer. Health data science 4 (2024)
Adeolu Ogunleye, Chayanit Piyawajanusorn, Ghita Ghislat, Pedro J Ballester
Large-Scale Machine Learning Analysis Reveals DNA Methylation and Gene Expression Response Signatures for Gemcitabine-Treated Pancreatic Cancer. Health data science 4 (2024)
Viet-Khoa Tran-Nguyen, Pedro J Ballester
Beware of Simple Methods for Structure-Based Virtual Screening: The Critical Importance of Broader Comparisons. Journal of chemical information and modeling 63 (5) (2023)
Saiveth Hernández-Hernández, Pedro J Ballester
On the Best Way to Cluster NCI-60 Molecules. Biomolecules 13 (3) (2023)
Saiveth Hernández-Hernández, Pedro J Ballester
On the Best Way to Cluster NCI-60 Molecules. Biomolecules 13 (3) (2023)
Viet-Khoa Tran-Nguyen, Pedro J Ballester
Beware of Simple Methods for Structure-Based Virtual Screening: The Critical Importance of Broader Comparisons. Journal of chemical information and modeling (2023)
Viet-Khoa Tran-Nguyen, Pedro J Ballester
Beware of Simple Methods for Structure-Based Virtual Screening: The Critical Importance of Broader Comparisons. Journal of chemical information and modeling 63 (5) (2023)
Saiveth Hernández-Hernández, Pedro J Ballester
On the Best Way to Cluster NCI-60 Molecules. Biomolecules 13 (3) (2023)
Viet-Khoa Tran-Nguyen, Pedro J Ballester
Beware of Simple Methods for Structure-Based Virtual Screening: The Critical Importance of Broader Comparisons. Journal of chemical information and modeling 63 (5) (2023)
Viet-Khoa Tran-Nguyen, Muhammad Junaid, Saw Simeon, Pedro J Ballester
A practical guide to machine-learning scoring for structure-based virtual screening. Nature protocols (2023)
Chayanit Piyawajanusorn, Linh C Nguyen, Ghita Ghislat, Pedro J Ballester
A gentle introduction to understanding preclinical data for cancer pharmaco-omic modeling. Briefings in bioinformatics 22 (6) (2022)
Adeolu Z Ogunleye, Chayanit Piyawajanusorn, Anthony Gonçalves, Ghita Ghislat, Pedro J Ballester
Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their microRNA Profiles. Advanced science (Weinheim, Baden-Wurttemberg, Germany) 9 (24) (2022)
Linh C Nguyen, Stefan Naulaerts, Alejandra Bruna, Ghita Ghislat, Pedro J Ballester
Predicting Cancer Drug Response In Vivo by Learning an Optimal Feature Selection of Tumour Molecular Profiles. Biomedicines 9 (10) (2021)
Jeremy Ariey-Bonnet, Kendall Carrasco, Marion Le Grand, Laurent Hoffer, Stéphane Betzi, Mikael Feracci, Philipp Tsvetkov, François Devred, Yves Collette, Xavier Morelli, Pedro J Ballester, Eddy Pasquier
In silico molecular target prediction unveils mebendazole as a potent MAPK14 inhibitor. Molecular oncology 14 (12) (2020)
Antonio Peón, Hongjian Li, Ghita Ghislat, Kwong-Sak Leung, Man-Hon Wong, Gang Lu, Pedro J Ballester
MolTarPred: A web tool for comprehensive target prediction with reliability estimation. Chemical biology & drug design 94 (1) (2019)
Linh Nguyen, Cuong Cao Dang, Pedro J Ballester
Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data. F1000Research 5 (2016)
Linh Nguyen, Cuong Cao Dang, Pedro J Ballester
Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data. F1000Research (2016)