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Benjamin Haibe‐Kains

Researcher Next ID · RN-032816

Researcher · Biochemistry, Genetics and Molecular Biology

Ontario Institute for Cancer Research

Toronto, Canada

Accepting doctoral researchersFunding unknown
Works count
1,210
Citation count
40,461
H-index
90
i10-index
221

Research interests

Biochemistry, Genetics and Molecular Biology
Computer Science
Medicine
Gene expression and cancer classification
Bioinformatics and Genomic Networks
Radiomics and Machine Learning in Medical Imaging
Cancer Genomics and Diagnostics
Computational Drug Discovery Methods

Publications

  • Reporting guidelines for human microbiome research: the STORMS checklist

    Nature Medicine · 2021 · 10.1038/s41591-021-01552-x

  • Colorectal Cancer Cells Enter a Diapause-like DTP State to Survive Chemotherapy

    Cell · 2021 · 10.1016/j.cell.2020.11.018

  • Proteogenomic characterization of pancreatic ductal adenocarcinoma

    Cell · 2021 · https://doi.org/10.1016/j.cell.2021.08.023

  • Gradient of Developmental and Injury Response transcriptional states defines functional vulnerabilities underpinning glioblastoma heterogeneity

    Nature Cancer · 2021 · https://doi.org/10.1038/s43018-020-00154-9

  • Transparency and reproducibility in artificial intelligence

    Nature · 2020 · 10.1038/s41586-020-2766-y

  • GLUT1 inhibition blocks growth of RB1-positive triple negative breast cancer

    Nature Communications · 2020 · https://doi.org/10.1038/s41467-020-18020-8

  • Machine learning approaches to drug response prediction: challenges and recent progress

    npj Precision Oncology · 2020 · 10.1038/s41698-020-0122-1

  • Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution

    Nature Genetics · 2020 · https://doi.org/10.1038/s41588-019-0566-9

  • ONECUT2 is a driver of neuroendocrine prostate cancer

    Nature Communications · 2019 · https://doi.org/10.1038/s41467-018-08133-6

  • Organoid Cultures as Preclinical Models of Non–Small Cell Lung Cancer

    Clinical Cancer Research · 2019 · https://doi.org/10.1158/1078-0432.ccr-19-1376

  • Spatially distinct tumor immune microenvironments stratify triple-negative breast cancers

    Journal of Clinical Investigation · 2019 · 10.1172/jci96313

  • Defining the biological basis of radiomic phenotypes in lung cancer

    eLife · 2017 · 10.7554/elife.23421

  • A review of connectivity map and computational approaches in pharmacogenomics

    Briefings in Bioinformatics · 2017 · https://doi.org/10.1093/bib/bbw112

  • Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer

    Scientific Reports · 2015 · 10.1038/srep11044

  • Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer

    Bioinformatics · 2015 · 10.1093/bioinformatics/btv693

  • CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

    Radiotherapy and Oncology · 2015 · 10.1016/j.radonc.2015.02.015

  • Similarity network fusion for aggregating data types on a genomic scale

    Nature Methods · 2014 · https://doi.org/10.1038/nmeth.2810

  • Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

    Nature Communications · 2014 · https://doi.org/10.1038/ncomms5006

  • Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks

    Frontiers in Cell and Developmental Biology · 2014 · https://doi.org/10.3389/fcell.2014.00038

  • Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation

    PLoS ONE · 2014 · 10.1371/journal.pone.0102107

  • CD4+ follicular helper T cell infiltration predicts breast cancer survival

    Journal of Clinical Investigation · 2013 · https://doi.org/10.1172/jci67428

  • Inconsistency in large pharmacogenomic studies

    Nature · 2013 · 10.1038/nature12831

  • CD73 promotes anthracycline resistance and poor prognosis in triple negative breast cancer

    Proceedings of the National Academy of Sciences · 2013 · 10.1073/pnas.1222251110

  • Elucidating Prognosis and Biology of Breast Cancer Arising in Young Women Using Gene Expression Profiling

    Clinical Cancer Research · 2012 · 10.1158/1078-0432.ccr-11-2599

  • survcomp : an R/Bioconductor package for performance assessment and comparison of survival models

    Bioinformatics · 2011 · 10.1093/bioinformatics/btr511

  • Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes

    Clinical Cancer Research · 2008 · 10.1158/1078-0432.ccr-07-4756

  • Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures

    Breast Cancer Research · 2008 · 10.1186/bcr2124

  • Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen

    BMC Genomics · 2008 · 10.1186/1471-2164-9-239

  • Strong Time Dependence of the 76-Gene Prognostic Signature for Node-Negative Breast Cancer Patients in the TRANSBIG Multicenter Independent Validation Series

    Clinical Cancer Research · 2007 · https://doi.org/10.1158/1078-0432.ccr-06-2765

  • Definition of Clinically Distinct Molecular Subtypes in Estrogen Receptor–Positive Breast Carcinomas Through Genomic Grade

    Journal of Clinical Oncology · 2007 · 10.1200/jco.2006.07.1522

  • Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis

    JNCI Journal of the National Cancer Institute · 2006 · https://doi.org/10.1093/jnci/djj052

Current projects

    No projects listed.