Alicia Oshlack
Molecular Biology · 2007–2021
A researcher in the Science corpus: 9 papers; trusts 85 researchers and is trusted by 102 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 177 citations into it; #231 of 17,773 by trust here, #3,242 by citations
- Genetics — 25 citations into it; #4,304 of 6,854 by trust here, #4,743 by citations
- Cancer Research — 23 citations into it; #13 of 1,780 by trust here, #402 by citations
- Artificial Intelligence — 18 citations into it; #24,494 of 35,345 by trust here, #34,213 by citations
- Statistics and Probability — 12 citations into it
- Biophysics — 6 citations into it
- Plant Science — 6 citations into it
Whom Alicia Oshlack trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark D. Robinson
- Gordon K. Smyth
- Davis J. McCarthy
- John C. Marioni
- Michael C. Schatz
- Ruiqiang Li
- Heng Li
- Ben Langmead
- Zhong Wang
- Cole Trapnell
Who trusts Alicia Oshlack overall
- Aaron T. L. Lun
- Gordon K. Smyth
- Yunshun Chen
- Davis J. McCarthy
- Oliver Stegle
- Sonia Tarazona
- Rhonda L. Bacher
- Charlotte Soneson
- Simon Anders
- Sonja Althammer
Papers from Alicia Oshlack's perspective
Ordered by how strongly the researchers Alicia Oshlack trusts endorse each paper. Same corpus, a different order for every researcher.
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
- RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
- SOAP: short oligonucleotide alignment program (Bioinform.)
- Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
- Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
Their papers
- A scaling normalization method for differential expression analysis of RNA-seq data (2010) — 6,941 citations
- From RNA-seq reads to differential expression results (2010) — 754 citations
- Splatter: simulation of single-cell RNA sequencing data (2017) — 800 citations
- A comparison of background correction methods for two-colour microarrays (2007) — 976 citations
- Clustering trees: a visualization for evaluating clusterings at multiple resolutions (2018) — 816 citations
- missMethyl: an R package for analyzing data from Illumina's HumanMethylation450 platform (2016) — 713 citations
- A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines (2021) — 113 citations
- Corset: enabling differential gene expression analysis for de novo assembled transcriptomes (2014) — 668 citations
- SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips (2012) — 796 citations