Benjamin Haibe-Kains
Orcid: 0000-0002-7684-0079
According to our database1,
Benjamin Haibe-Kains
authored at least 54 papers
between 2008 and 2024.
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Bibliography
2024
Integrate Any Omics: Towards genome-wide data integration for patient stratification.
CoRR, 2024
2023
Reusability report: Evaluating reproducibility and reusability of a fine-tuned model to predict drug response in cancer patient samples.
Nat. Mac. Intell., July, 2023
Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations.
Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023
2022
PharmacoDB 2.0: improving scalability and transparency of <i>in vitro</i> pharmacogenomics analysis.
Nucleic Acids Res., 2022
Evaluation of statistical approaches for association testing in noisy drug screening data.
BMC Bioinform., 2022
Proceedings of the Machine Learning for Healthcare Conference, 2022
2021
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images.
npj Digit. Medicine, 2021
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data.
CoRR, 2021
The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review.
Comput. Biol. Medicine, 2021
Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models.
Briefings Bioinform., 2021
Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks.
Proceedings of AAAI Symposium on Survival Prediction, 2021
2020
SYNERGxDB: an integrative pharmacogenomic portal to identify synergistic drug combinations for precision oncology.
Nucleic Acids Res., 2020
ToxicoDB: an integrated database to mine and visualize large-scale toxicogenomic datasets.
Nucleic Acids Res., 2020
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image.
CoRR, 2020
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation.
Proceedings of the Machine Learning for Healthcare Conference, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
Whole genomes define concordance of matched primary, xenograft, and organoid models of pancreas cancer.
PLoS Comput. Biol., 2019
CoRR, 2019
Dr.VAE: improving drug response prediction via modeling of drug perturbation effects.
Bioinform., 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
PharmacoDB: an integrative database for mining in vitro anticancer drug screening studies.
Nucleic Acids Res., 2018
J. Am. Medical Informatics Assoc., 2018
Orchestrating a community-developed computational workshop and accompanying training materials.
F1000Research, 2018
CoRR, 2018
Briefings Bioinform., 2018
2017
Study of Meta-analysis strategies for network inference using information-theoretic approaches.
BioData Min., 2017
Briefings Bioinform., 2017
2016
Source Code Biol. Medicine, 2016
Bioinform., 2016
BatchQC: interactive software for evaluating sample and batch effects in genomic data.
Bioinform., 2016
Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer.
Bioinform., 2016
Briefings Bioinform., 2016
2015
ABC: a tool to identify SNVs causing allele-specific transcription factor binding from ChIP-Seq experiments.
Bioinform., 2015
2014
2013
Research and applications: Comparison and validation of genomic predictors for anticancer drug sensitivity.
J. Am. Medical Informatics Assoc., 2013
Bioinform., 2013
Bioinform., 2013
Database J. Biol. Databases Curation, 2013
2012
Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks.
Nucleic Acids Res., 2012
GeneSigDB: a manually curated database and resource for analysis of gene expression signatures.
Nucleic Acids Res., 2012
2011
Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response.
BMC Bioinform., 2011
BMC Bioinform., 2011
<i>survcomp</i>: an R/Bioconductor package for performance assessment and comparison of survival models.
Bioinform., 2011
2008
Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Study.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008
A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?
Bioinform., 2008