Feng Chu
Molecular Biology · 2007
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 11 citations into it
- Artificial Intelligence — 5 citations into it
Whom Feng Chu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Feng Chu's perspective
Ordered by how strongly the researchers Feng Chu trusts endorse each paper. Same corpus, a different order for every researcher.
- Knowledge-based analysis of microarray gene expression data by using support vector machines. (Proceedings of the National Academy of Sciences of the United States of America)
- Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling (Nature)
- Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
- Multiclass cancer diagnosis using tumor gene expression signatures (Proceedings of the National Academy of Sciences of the United States of America)
- Diagnosis of multiple cancer types by shrunken centroids of gene expression
- Missing value estimation methods for DNA microarrays
- Statistical learning theory
- Selection bias in gene extraction on the basis of microarray gene-expression data (Proceedings of the National Academy of Sciences of the United States of America)
- Predicting the clinical status of human breast cancer by using gene expression profiles (Proceedings of the National Academy of Sciences of the United States of America)
- Gene expression patterns in human liver cancers. (Molecular Biology of the Cell)
Their papers
- Accurate Cancer Classification Using Expressions of Very Few Genes (2007) — 320 citations