Charles M. Perou
Molecular Biology · 2000–2021
A researcher in the Science corpus: 70 papers; trusts 21 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 878 citations into it; #6,752 of 17,773 by trust here, #38 by citations
- Cancer Research — 570 citations into it; #271 of 1,780 by trust here, #4 by citations
- Oncology — 339 citations into it; #885 of 1,698 by trust here, #37 by citations
- Immunology — 63 citations into it
- Artificial Intelligence — 57 citations into it
- Statistics and Probability — 23 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Psychiatry and Mental health — 7 citations into it
Whom Charles M. Perou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- John Hartigan
- Inderjit S. Dhillon
- Laura Lazzeroni
- Sam Griffiths-Jones
- John Quackenbush
- Jerome H. Friedman
- Trevor J. Hastie
- Alex Krizhevsky
- Lisa A. Carey
Who trusts Charles M. Perou overall
- J. Reis-Filho
- Aleix Prat
- Yuan Gao
- N. Turner
- Lisa A. Carey
- K. Polyak
- Andrew Tutt
- Scott M. Hammond
- H. Horlings
- Howard Y. Chang
Papers from Charles M. Perou's perspective
Ordered by how strongly the researchers Charles M. Perou trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Molecular portraits of human breast tumours (Nature)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Repeated observation of breast tumor subtypes in independent gene expression data sets (Proceedings of the National Academy of Sciences of the United States of America)
- Visualizing Data using t-SNE
- Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors (Genome Biology)
- Prospective identification of tumorigenic breast cancer cells (Proceedings of the National Academy of Sciences of the United States of America)
- Scikit-learn: Machine Learning in Python
- The epithelial-mesenchymal transition generates cells with properties of stem cells. (Cell)
- Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma (Clinical Cancer Research)
Their papers
- Molecular portraits of human breast tumours (2000) — 16,216 citations
- Systematic variation in gene expression patterns in human cancer cell lines (2000) — 2,229 citations
- Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma. (2010) — 2,267 citations
- MapSplice: Accurate mapping of RNA-seq reads for splice junction discovery (2010) — 1,200 citations
- Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications (2001) — 11,522 citations
- An integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR and NF1 (2010) — 7,152 citations
- Identification of genes periodically expressed in the human cell cycle and their expression in tumors. (2002) — 1,616 citations
- Repeated observation of breast tumor subtypes in independent gene expression data sets (2003) — 5,528 citations
- Diversity of gene expression in adenocarcinoma of the lung (2001) — 1,343 citations
- A custom microarray platform for analysis of microRNA gene expression (2004) — 749 citations
- Comprehensive molecular portraits of human breast tumors (2012) — 7,518 citations
- Comprehensive Molecular Characterization of Human Colon and Rectal Cancer (2012) — 7,754 citations
- Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients (2018) — 792 citations
- Distinct patterns of somatic genome alterations in lung adenocarcinomas and squamous cell carcinomas (2016) — 1,096 citations
- Adjustment of systematic microarray data biases (2004) — 442 citations
- Integrated Genomic Analyses of Ovarian Carcinoma (2011) — 7,559 citations
- Comprehensive genomic characterization defines human glioblastoma genes and core pathways (2008) — 7,050 citations
- Molecular profiling reveals biologically discrete subsets and pathways of progression in diffuse glioma (2016) — 1,926 citations
- Common markers of proliferation (2006) — 622 citations
- Comprehensive molecular profiling of lung adenocarcinoma (2014) — 5,176 citations