M. Laub

Molecular Biology · 2004–2016

A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom M. Laub trusts overall

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

  1. Ann M Stock

Who trusts M. Laub overall

  1. Anne-Florence Bitbol
  2. T. P. Lagus
  3. Ryan R. Cheng
  4. Hongyue Dang
  5. R. S. Dwyer
  6. R. Gao
  7. Jon F. Edd
  8. Kevin Kaichuang Yang
  9. Martin Weigt
  10. Lucy J. Colwell

Papers from M. Laub's perspective

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

  1. Accurate prediction of protein–protein interactions from sequence alignments using a Bayesian method
  2. Identification of direct residue contacts in protein–protein interaction by message passing
  3. Experimental illumination of a fitness landscape
  4. Extracting and composing robust features with denoising autoencoders
  5. GHKL, an emergent ATPase/kinase superfamily. (TIBS -Trends in Biochemical Sciences. Regular ed)
  6. KEGG: Kyoto Encyclopedia of Genes and Genomes (Nucleic Acids Res.)
  7. Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data (Machine-mediated learning)
  8. Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich era
  9. ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking (Bioinform.)
  10. Representation Learning: A Review and New Perspectives

Their papers