Lily Wang
Molecular Biology · 2008
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 6 citations into it; #6,630 of 17,773 by trust here, #9,727 by citations
Whom Lily Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Lily Wang overall
Papers from Lily Wang's perspective
Ordered by how strongly the researchers Lily Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistical Learning Theory
- Support vector machine classification and validation of cancer tissue samples using microarray expression data (Bioinform.)
- A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis (Bioinform.)
- GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data
- Classification and Regression by randomForest
- Ensemble Methods in Machine Learning
- Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. (Journal of the National Cancer Institute)
- Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data (Bioinform.)
- An extensive comparison of recent classification tools applied to microarray data (Computational Statistics & Data Analysis)
- Machine Learning Benchmarks and Random Forest Regression