L. Huang

Molecular Biology · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom L. Huang trusts overall

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

  1. Tom Minka

Papers from L. Huang's perspective

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

  1. Expectation Propagation for approximate Bayesian inference
  2. Systematic identification of genomic markers of drug sensitivity in cancer cells (Nature)
  3. Identifying protein interaction subnetworks by a bagging Markov random field-based method
  4. Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells (Nucleic Acids Res.)
  5. Network-based support vector machine for classification of microarray samples
  6. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. (The Lancet)
  7. Network-based classification of breast cancer metastasis
  8. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. (Proceedings of the National Academy of Sciences of the United States of America)
  9. Addendum: Regularization and variable selection via the elastic net
  10. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Their papers