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Molecular Biology

D-Index
82
Citations
31264
World Ranking
923
National Ranking
28

Overview

Benjamin Haibe-Kains is affiliated with the Princess Margaret Cancer Centre in Canada. Their research primarily focuses on medicine with significant contributions in molecular biology, radiology, nuclear medicine and imaging, cancer research, oncology, and pulmonary and respiratory medicine.

The scientist's recent publications highlight a wide range of topics in cancer research and computational methods. These include:

  • Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution, 2020, Nature Genetics
  • Proteogenomic characterization of pancreatic ductal adenocarcinoma, 2021, Cell
  • Transparency and reproducibility in artificial intelligence, 2020, Nature
  • Colorectal Cancer Cells Enter a Diapause-like DTP State to Survive Chemotherapy, 2021, Cell
  • Machine learning approaches to drug response prediction: challenges and recent progress, 2020, npj Precision Oncology

The main research topics associated with Benjamin Haibe-Kains include:

  • Radiomics and Machine Learning in Medical Imaging
  • Cancer Genomics and Diagnostics
  • Gene expression and cancer classification
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Head and Neck Cancer Studies
  • AI in cancer detection

They frequently publish in journals and venues such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Clinical Cancer Research
  • Radiotherapy and Oncology

Benjamin Haibe-Kains has collaborated extensively, working most often with the following co-authors:

  • Petr Smirnov
  • Christopher Eeles
  • Sisira Kadambat Nair
  • Scott V. Bratman
  • Denis Tkachuk

Best Publications

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

    Bo Wang;Aziz M Mezlini;Feyyaz Demir;Marc Fiume

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

    Sherene Loi;Benjamin Haibe-Kains;Christine Desmedt;Françoise Lallemand

  • Inconsistency in large pharmacogenomic studies

    Benjamin Haibe-Kains;Nehme El-Hachem;Nicolai Juul Birkbak;Andrew C. Jin

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

    Michelle Chan-Seng-Yue;Michelle Chan-Seng-Yue;Jaeseung C Kim;Jaeseung C Kim;Gavin W Wilson;Karen Ng

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

    Sherene Loi;Benjamin Haibe-Kains;Christine Desmedt;Pratyaksha Wirapati

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

    Markus S. Schröder;Aedín C. Culhane;John Quackenbush;Benjamin Haibe-Kains

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

    Hatem A. Azim;Stefan Michiels;Philippe L. Bedard;Sandeep K. Singhal

  • PIK3CA mutations associated with gene signature of low mTORC1 signaling and better outcomes in estrogen receptor–positive breast cancer

    Sherene Loi;Sherene Loi;Sherene Loi;Benjamin Haibe-Kains;Samira Majjaj;Francoise Lallemand

  • microRNA-29c and microRNA-223 down-regulation has in vivo significance in chronic lymphocytic leukemia and improves disease risk stratification

    Basile Stamatopoulos;Nathalie Meuleman;Benjamin Haibe-Kains;Pascale Saussoy

  • A Three-Gene Model to Robustly Identify Breast Cancer Molecular Subtypes

    Benjamin Haibe-Kains;Christine Desmedt;Sherene Loi;Aedin C. Culhane

  • Proteogenomic characterization of pancreatic ductal adenocarcinoma

    Liwei Cao;Chen Huang;Daniel Cui Zhou;Yingwei Hu

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

    Tina Gruosso;Mathieu Gigoux;Venkata Satya Kumar Manem;Venkata Satya Kumar Manem;Nicholas Bertos

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

    Sumaiyah K. Rehman;Jennifer Haynes;Evelyne Collignon;Kevin R. Brown

  • Defining the biological basis of radiomic phenotypes in lung cancer

    Patrick Grossmann;Patrick Grossmann;Olya Stringfield;Nehme El-Hachem;Marilyn M Bui

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

    Deena M. A. Gendoo;Deena M. A. Gendoo;Natchar Ratanasirigulchai;Markus S. Schröder;Laia Paré

  • A comparative study of survival models for breast cancer prognostication based on microarray data

    B. Haibe-Kains;C. Desmedt;C. Sotiriou;G. Bontempi

  • A review of connectivity map and computational approaches in pharmacogenomics.

    Aliyu Musa;Laleh Soltan Ghoraie;Shu-Dong Zhang;Galina V. Glazko

  • Global microRNA expression profiling identifies MiR-210 associated with tumor proliferation, invasion and poor clinical outcome in breast cancer.

    Françoise Rothé;Michail Ignatiadis;Carole Chaboteaux;Benjamin Haibe-Kains

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

    Hugo J.W.L. Aerts;Emmanuel Rios Velazquez;Ralph T.H. Leijenaar;Chintan Parmar

  • Transparency and reproducibility in artificial intelligence.

    Benjamin Haibe-Kains;George Alexandru Adam;Ahmed Hosny;Farnoosh Khodakarami;Farnoosh Khodakarami

Frequent Co-Authors

Christos Sotiriou
Christos Sotiriou Université Libre de Bruxelles
Sherene Loi
Sherene Loi Peter MacCallum Cancer Centre
Mathieu Lupien
Mathieu Lupien Princess Margaret Cancer Centre
John Quackenbush
John Quackenbush Harvard University
Gianluca Bontempi
Gianluca Bontempi Université Libre de Bruxelles
Trevor J. Pugh
Trevor J. Pugh Princess Margaret Cancer Centre
Martine Piccart
Martine Piccart Université Libre de Bruxelles
Denis Larsimont
Denis Larsimont Université Libre de Bruxelles
Hugo J.W.L. Aerts
Hugo J.W.L. Aerts Brigham and Women's Hospital
Stefan Michiels
Stefan Michiels University of Paris-Saclay

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