Ali Anaissi

Molecular Biology · with Catchpoole · 2013

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Anaissi trusts overall

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

  1. Isabelle M Guyon
  2. Ramón Díaz-Uriarte
  3. Alvis Brazma
  4. Kellie J. Archer
  5. Gad Getz
  6. Kai-Bo Duan
  7. Andre´ Elisseeff
  8. S. Á. D. Andrés
  9. Jaak Vilo
  10. Ryan V. Kimes

Who trusts Ali Anaissi overall

  1. Sumanta Basu
  2. Jun Chin Ang
  3. Karl Kumbier
  4. Andri Mirzal

Papers from Ali Anaissi's perspective

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

  1. An Introduction to Variable and Feature Selection
  2. Gene selection and classification of microarray data using random forest
  3. Coupled two-way clustering analysis of gene microarray data. (Proceedings of the National Academy of Sciences of the United States of America)
  4. Gene Selection for Cancer Classification using Support Vector Machines
  5. Systematic variation in gene expression patterns in human cancer cell lines (Nature Genetics)
  6. Multiple SVM-RFE for gene selection in cancer classification with expression data (IEEE Transactions on Nanobioscience)
  7. Gene expression data analysis. (Microbes and infection)
  8. Tissue Classification with Gene Expression Profiles (Annual International Conference on Research in Computational Molecular Biology)
  9. Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma. (Cancer Research)
  10. Empirical characterization of random forest variable importance measures

Their papers