Alison A. Motsinger

Molecular Biology · 2007

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alison A. Motsinger trusts overall

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

  1. Jason H. Moore
  2. Marylyn DeRiggi Ritchie
  3. Lance W. Hahn

Papers from Alison A. Motsinger's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. MetaCost: a general method for making classifiers cost-sensitive
  3. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
  4. The effect of class distribution on classifier learning: an empirical study
  5. Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions (Bioinform.)
  6. Power of multifactor dimensionality reduction for detecting gene‐gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity (Genetic Epidemiology)
  7. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.
  8. Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
  9. The Class Imbalance Problem: Significance and Strategies
  10. Traversing the conceptual divide between biological and statistical epistasis: systems biology and a more modern synthesis. (Bioessays)

Their papers