Maureen A. Sartor

Molecular Biology · 2009–2021

A researcher in the Science corpus: 7 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 150 citations into it; #12,964 of 17,773 by trust here, #5,968 by citations
• Computational Theory and Mathematics — 82 citations into it
• Genetics — 10 citations into it
• Materials Chemistry — 8 citations into it

Whom Maureen A. Sartor trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoav Benjamini
2. John D. Storey
3. Sorin Draghici
4. Minoru Kanehisa
5. Purvesh Khatri
6. R. Keira Curtis
7. Lu Tian
8. ENCODEConsortium
9. Jason Ernst
10. Robert Tibshirani

Who trusts Maureen A. Sartor overall

1. Kyle Swanson

Papers from Maureen A. Sartor's perspective

Ordered by how strongly the researchers Maureen A. Sartor trusts endorse each paper. Same corpus, a different order for every researcher.

1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
2. This PDF file includes: Materials and Methods
3. From genomics to chemical genomics: new developments in KEGG (Nucleic Acids Res.)
4. Gene Ontology: tool for the unification of biology
5. Random Forests
6. Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
7. SuperTarget and Matador: resources for exploring drug-target relationships (Nucleic Acids Res.)
8. BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities
9. GoMiner: a resource for biological interpretation of genomic and proteomic data (Genome Biology)
10. Ontological analysis of gene expression data: current tools, limitations, and open problems (Bioinform.)

Their papers

• ER-stress-induced transcriptional regulation increases protein synthesis leading to cell death (2013) — 1,634 citations
• Metscape 2 bioinformatics tool for the analysis and visualization of metabolomics and gene expression data (2012) — 412 citations
• LRpath: a logistic regression approach for identifying enriched biological groups in gene expression data (2009) — 181 citations
• Molecular Tumor Subtypes of HPV-Positive Head and Neck Cancers: Biological Characteristics and Implications for Clinical Outcomes (2021)
• Machine learning approaches and databases for prediction of drug–target interaction: a survey paper (2020) — 366 citations
• annotatr: Genomic regions in context (2016) — 405 citations
• Comprehensive genomic characterization of head and neck squamous cell carcinomas (2015) — 3,702 citations