Naomi Altman

Artificial Intelligence · Nature Methods · 2013–2018

A researcher in the Science corpus: 8 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Naomi Altman trusts overall

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

1. Martin Krzywinski
2. Richard Bellman

Who trusts Naomi Altman overall

1. Ceyhan C Serdar
2. H. Rajula

Papers from Naomi Altman's perspective

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

1. Points of Significance: Classification and regression trees
2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
3. A human protein-protein interaction network: a resource for annotating the proteome. (Cell)
4. Circular genome visualization and exploration using CGView (Bioinform.)
5. Clonal Integration of a Polyomavirus in Human Merkel Cell Carcinoma
6. A statistical method for evaluating systematic relationships
7. Metabolomics by numbers: acquiring and understanding global metabolite data. (Trends in Biotechnology)
8. Guest editorial. Computational systems biology. (IET Systems Biology)
9. A faster algorithm for betweenness centrality
10. Modularity and community structure in networks.

Their papers

• Points of significance: Power and sample size (2013) — 193 citations
• The curse(s) of dimensionality (2018) — 421 citations
• Points of Significance: Statistics versus machine learning (2018) — 1,194 citations
• Points of Significance: Model selection and overfitting (2016) — 547 citations
• Points of Significance: Sampling distributions and the bootstrap (2015) — 140 citations
• Points of Significance: Nested designs (2014)
• Points of Significance: Visualizing samples with box plots (2014) — 477 citations
• Points of significance: Significance, P values and t-tests (2013) — 179 citations