Laura Lazzeroni

Statistics and Probability · 2000–2022

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Laura Lazzeroni trusts overall

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

  1. Daniel D. Lee
  2. John Hartigan

Who trusts Laura Lazzeroni overall

  1. Sun-Yuan Kung
  2. Adrian E. Raftery
  3. Daxin Jiang
  4. Stanislav Busygin
  5. Andrey A. Shabalin
  6. Nema Dean
  7. Sepp Hochreiter
  8. Sivaraman Balakrishnan
  9. Wolfram Liebermeister
  10. Chun Tang

Papers from Laura Lazzeroni's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Genetic effects on gene expression across human tissues
  3. Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection (Nature Genetics)
  4. De novo CNV analysis implicates specific abnormalities of postsynaptic signalling complexes in the pathogenesis of schizophrenia (Molecular Psychiatry)
  5. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets (Nature Genetics)
  6. Analysis of protein-coding genetic variation in 60,706 humans
  7. Molecular Architecture of the Mouse Nervous System
  8. Massively-parallel single nucleus RNA-seq with DroNc-seq (Nature Methods)
  9. The approximation of one matrix by another of lower rank
  10. Direct Clustering of a Data Matrix

Their papers