Zhan Ye

Molecular Biology · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhan Ye trusts overall

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

  1. Mark D. Robinson
  2. Bo Li
  3. Ciaran Evans
  4. Nicolas L. Bray
  5. Svitlana Tyekucheva
  6. Ali Mortazavi
  7. Rob Patro
  8. Shanrong Zhao

Papers from Zhan Ye's perspective

Ordered by how strongly the researchers Zhan Ye 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. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis (Briefings Bioinform.)
  3. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
  4. Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference
  5. Integrating diverse genomic data using gene sets (Genome Biology)
  6. Near-optimal probabilistic RNA-seq quantification (Nature Biotechnology)
  7. Computational methods for transcriptome annotation and quantification using RNA-seq (Nature Methods)
  8. c-Myc is a universal amplifier of expressed genes in lymphocytes and embryonic stem cells (Cell)
  9. Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples (Theory in biosciences)
  10. A survey of best practices for RNA-seq data analysis (Genome Biology)

Their papers