Ruili Huang

Statistics and Probability · 2011–2016

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Ruili Huang trusts overall

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

1. Jerome H. Friedman
2. Naomi S. Altman
3. Trevor J. Hastie
4. Pierre Geurts
5. Leo Breiman

Who trusts Ruili Huang overall

1. Zaccary Alperstein
2. Priyanka Banerjee
3. Ryan L. Murphy

Papers from Ruili Huang's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Random Forests
3. Greedy function approximation: A gradient boosting machine.
4. Ridge Regression: Biased Estimation for Nonorthogonal Problems
5. Extremely randomized trees
6. Quantitative high-throughput screening: a titration-based approach that efficiently identifies biological activities in large chemical libraries.
7. DrugBank: a knowledgebase for drugs, drug actions and drug targets
8. New uses for old drugs (Nature)
9. The ToxCast program for prioritizing toxicity testing of environmental chemicals.
10. Can the pharmaceutical industry reduce attrition rates?

Their papers

• The NCGC Pharmaceutical Collection: A comprehensive resource of clinically approved drugs enabling repurposing and chemical genomics (2011) — 401 citations
• Tox21Challenge to Build Predictive Models of Nuclear Receptor and Stress Response Pathways as Mediated by Exposure to Environmental Chemicals and Drugs (2016) — 222 citations
• Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor. (2015) — 281 citations