Vanessa E. Gray
Molecular Biology · 2012–2018
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 69 citations into it
- Genetics — 50 citations into it
- Computational Biology & Bioinformatics — 22 citations into it
- Artificial Intelligence — 5 citations into it
- ML Systems & Hardware — 5 citations into it
Whom Vanessa E. Gray trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michele Magrane
- Jerome H. Friedman
- Cedric E. Ginestet
- Abel Gonzalez-Perez
- W. Kabsch
- Christopher T. Saunders
- Tianqi Chen
- Panagiotis Katsonis
- Maximilian Hecht
- Yana Bromberg
Who trusts Vanessa E. Gray overall
Papers from Vanessa E. Gray's perspective
Ordered by how strongly the researchers Vanessa E. Gray trusts endorse each paper. Same corpus, a different order for every researcher.
- Analysis of protein-coding genetic variation in 60,706 humans
- A method and server for predicting damaging missense mutations
- Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm
- Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular…
- dbSNP: the NCBI database of genetic variation
- PSIC: profile extraction from sequence alignments with position-specific counts of independent observations.
- OMIM.org: Online Mendelian Inheritance in Man (OMIM®), an online catalog of human genes and genetic disorders
- Stochastic gradient boosting
- Evaluation of structural and evolutionary contributions to deleterious mutation prediction.
- XGBoost: A Scalable Tree Boosting System
Their papers
- Quantitative missense variant effect prediction using large-scale mutagenesis data (2017) — 204 citations
- Performance of computational tools in evaluating the functional impact of laboratory-induced amino acid mutations (2012) — 61 citations
- Multiplex Assessment of Protein Variant Abundance by Massively Parallel Sequencing (2018) — 402 citations