Tengfei Xiao

Molecular Biology · 2014–2019

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tengfei Xiao trusts overall

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

  1. Gordon K. Smyth

Papers from Tengfei Xiao's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. RNA-Guided Human Genome Engineering via Cas9
  3. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
  4. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
  5. Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
  6. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
  7. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
  8. High-throughput screening of a CRISPR/Cas9 library for functional genomics in human cells (Nature)
  9. The Reactome pathway Knowledgebase
  10. A probability-based approach for the analysis of large-scale RNAi screens (Nature Methods)

Their papers