Ming Lin

Bioinform. · with Li · 2004

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

Whom Ming Lin trusts overall

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

  1. Terence P. Speed
  2. Yoav Benjamini
  3. Y. Hochberg

Papers from Ming Lin's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. Biological sequence analysis
  3. Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. (Proceedings of the National Academy of Sciences of the United States of America)
  4. Multiple Hypothesis Testing
  5. A direct approach to false discovery rates
  6. Estimating the Dimension of a Model
  7. A Simple Sequentially Rejective Multiple Test Procedure
  8. Stepwise normal theory multiple test procedures controlling the false discovery rate
  9. Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. (Nucleic Acids Research)
  10. On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data (J. Comput. Biol.)

Their papers