K. Ngo
Molecular Biology · 2014
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 16 citations into it
Whom K. Ngo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from K. Ngo's perspective
Ordered by how strongly the researchers K. Ngo trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
- Biases in Illumina transcriptome sequencing caused by random hexamer priming (Nucleic Acids Research)
- Computational methods for transcriptome annotation and quantification using RNA-seq (Nature Methods)
- Cloud Computing and the DNA Data Race
- The case for cloud computing in genome informatics
- Estimating accuracy of RNA-Seq and microarrays with proteomics (BMC Genomics)
- Retinoid-related orphan receptors (RORs): critical roles in development, immunity, circadian rhythm, and cellular metabolism (Nuclear Receptor Signaling)
- Gentleman R: R: A language for data analysis and graphics
Their papers
- Comparison of RNA-Seq and Microarray in Transcriptome Profiling of Activated T Cells (2014) — 976 citations