T. Linn

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. Linn trusts overall

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

  1. Mark D. Robinson
  2. Juan José Egozcue

Papers from T. Linn's perspective

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

  1. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
  2. Spontaneous mapping of number and space in adults and young children (Cognition)
  3. Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
  4. Integrating diverse genomic data using gene sets (Genome Biology)
  5. MapSplice: Accurate mapping of RNA-seq reads for splice junction discovery (Nucleic Acids Research)
  6. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  7. Inferring Correlation Networks from Genomic Survey Data (PLoS Comput. Biol.)
  8. Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples (PLoS Comput. Biol.)
  9. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data (Bioinform.)
  10. Groups of Parts and Their Balances in Compositional Data Analysis

Their papers