Lizhong Chen

Molecular Biology · 2024

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lizhong Chen trusts overall

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

  1. Gordon K. Smyth
  2. Mark D. Robinson
  3. Davis J. McCarthy
  4. A. Bird
  5. Davide Risso
  6. Aaron T. L. Lun
  7. Diabetes-Ling Wu
  8. Charlotte Soneson
  9. Bo Li
  10. Felix Krueger

Papers from Lizhong Chen's perspective

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

  1. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  2. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  3. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  4. Testing significance relative to a fold-change threshold is a TREAT (Bioinform.)
  5. Removing technical variability in RNA-seq data using conditional quantile normalization (Biostatistics)
  6. Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
  7. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
  8. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
  9. Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference
  10. HTSeq—a Python framework to work with high-throughput sequencing data (bioRxiv)

Their papers