Mingxiang Teng
Statistics and Probability · 2008–2018
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
- Statistics and Probability — 14 citations into it
Whom Mingxiang Teng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mingxiang Teng's perspective
Ordered by how strongly the researchers Mingxiang Teng 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
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
- Reconstructing lineage hierarchies of the distal lung epithelium using single cell RNA-seq (Nature)
- limma powers differential expression analyses for RNA-sequencing and microarray studies
- Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
- From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
- A microRNA polycistron as a potential human oncogene (Nature)
- MicroRNA expression profiles classify human cancers (Nature)
- On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics
Their papers
- Missing Data and Technical Variability in Single-Cell RNA-Sequencing Experiments (2017) — 92 citations
- miR2Disease: a manually curated database for microRNA deregulation in human disease (2008) — 1,388 citations
- A practical guide to methods controlling false discoveries in computational biology (2018) — 388 citations