Benjamin Haibe-Kains

Clinical Cancer Research · 2006–2020

A researcher in the Science corpus: 12 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Who trusts Benjamin Haibe-Kains overall

1. David Venet

Papers from Benjamin Haibe-Kains's perspective

Ordered by how strongly the researchers Benjamin Haibe-Kains trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Architecture Search with Reinforcement Learning
2. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
3. Probabilistic reasoning in intelligent systems: Networks of plausible inference
4. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications (Proceedings of the National Academy of Sciences of the United States of America)
5. Finite Mixture Models
6. Oncogenic pathway signatures in human cancers as a guide to targeted therapies (Nature)
7. A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. (Cancer Cell)
8. Concordance among gene-expression-based predictors for breast cancer. (New England Journal of Medicine)
9. Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts (Breast Cancer Research)
10. Statistical Methods for Meta‐Analysis

Their papers

• Similarity network fusion for aggregating data types on a genomic scale (2014) — 1,802 citations
• Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. (2006) — 2,034 citations
• A review of connectivity map and computational approaches in pharmacogenomics (2017) — 251 citations
• Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer (2016) — 338 citations
• Machine learning approaches to drug response prediction: challenges and recent progress (2020) — 326 citations
• Transparency and reproducibility in artificial intelligence (2020) — 429 citations
• Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach (2014) — 741 citations
• Amplification of LAPTM4B and YWHAZ contributes to chemotherapy resistance and recurrence of breast cancer (2010) — 79 citations
• Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures (2008) — 862 citations
• Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes (2008) — 828 citations
• Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade. (2007) — 829 citations
• Strong Time Dependence of the 76-Gene Prognostic Signature for Node-Negative Breast Cancer Patients in the TRANSBIG Multicenter Independent Validation Series (2007) — 1,014 citations