Yuqing Zhang

Molecular Biology · with Johnson · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 8 citations into it

Whom Yuqing Zhang trusts overall

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

1. Mark D. Robinson
2. Jeffrey T. Leek
3. Davis J. McCarthy
4. Gordon K. Smyth
5. Yunshun Chen
6. Alicia Oshlack

Papers from Yuqing Zhang's perspective

Ordered by how strongly the researchers Yuqing Zhang 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. Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
4. voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
5. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
6. svaseq: removing batch effects and other unwanted noise from sequencing data (bioRxiv)
7. Tackling the widespread and critical impact of batch effects in high-throughput data
8. Adjusting batch effects in microarray expression data using empirical Bayes methods. (Biostatistics)
9. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
10. Transcriptome genetics using second generation sequencing in a Caucasian population (Nature)

Their papers

• ComBat-seq: batch effect adjustment for RNA-seq count data (2020) — 1,281 citations