Hannah Currant
Molecular Biology · 2016
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 14 citations into it; #13,706 of 17,773 by trust here, #15,531 by citations
Whom Hannah Currant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hannah Currant overall
Papers from Hannah Currant's perspective
Ordered by how strongly the researchers Hannah Currant trusts endorse each paper. Same corpus, a different order for every researcher.
- Phylogenetic-based propagation of functional annotations within the Gene Ontology consortium (Briefings Bioinform.)
- ProFET: Feature engineering captures high-level protein functions
- Intrinsically Disordered Proteins in Cellular Signaling and Regulation
- A large-scale evaluation of computational protein function prediction
- The InterPro protein families database: the classification resource after 15 years
- Prediction of human protein function from post-translational modifications and localization features. (Journal of Molecular Biology)
- Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.
- Machine learning in genetics and genomics (Nature reviews genetics)
- Basic local alignment search tool.
- Gene Ontology: tool for the unification of biology
Their papers
- FFPred 3: feature-based function prediction for all Gene Ontology domains (2016) — 118 citations