Yang Liao
Molecular Biology · 2013–2018
A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 92 citations into it; #2,288 of 17,773 by trust here, #2,628 by citations
- Genetics — 20 citations into it; #1,939 of 6,854 by trust here, #949 by citations
- Cancer Research — 16 citations into it
- Artificial Intelligence — 13 citations into it; #15,736 of 35,345 by trust here, #16,471 by citations
- Plant Science — 10 citations into it
Whom Yang Liao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Simon Anders
- Gordon K. Smyth
- Mark D. Robinson
- Yunshun Chen
- Charity W. Law
- Ben Langmead
- Davis J. McCarthy
- Wolfgang Huber
- Wei Shi
- Thomas J. Hardcastle
Who trusts Yang Liao overall
- Aaron T. L. Lun
- Gordon K. Smyth
- Yunshun Chen
- Charity W. Law
- Gabriel E. Hoffman
- Tallulah S. Andrews
- Simon Anders
- Wei Shi
- Michael I. Love
- Matthew E. Ritchie
Papers from Yang Liao's perspective
Ordered by how strongly the researchers Yang Liao trusts endorse each paper. Same corpus, a different order for every researcher.
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- Detecting differential usage of exons from RNA-seq data (Genome Research)
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- HTSeq—a Python framework to work with high-throughput sequencing data (bioRxiv)
- Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
- From RNA-seq reads to differential expression results (Genome Biology)
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
- Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
Their papers
- The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote (2013) — 2,860 citations
- featureCounts: an efficient general purpose program for assigning sequence reads to genomic features (2013) — 23,436 citations
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium (2014) — 938 citations
- The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads (2018) — 2,534 citations
- Hobit and Blimp1 instruct a universal transcriptional program of tissue residency in lymphocytes (2016) — 909 citations