Qing Chang

Molecular Biology · with Wang · 2016

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

Whom Qing Chang trusts overall

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

  1. John H. Holland
  2. Aixia Guo
  3. Jeffrey B. Endelman
  4. Chris H. Q. Ding

Papers from Qing Chang's perspective

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

  1. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  2. Estimating Attributes: Analysis and Extensions of RELIEF
  3. Random Forests
  4. Minimum redundancy feature selection from microarray gene expression data (Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003)
  5. An efficient and robust statistical modeling approach to discover differentially expressed genes using genomic expression profiles. (Genome Research)
  6. Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP
  7. Ridge Regression Learning Algorithm in Dual Variables
  8. Support-Vector Networks
  9. Dimensionality reduction using genetic algorithms (IEEE Transactions on Evolutionary Computation)
  10. Multiple SVM-RFE for gene selection in cancer classification with expression data (IEEE Transactions on Nanobioscience)

Their papers