Baitang Ning
Molecular Biology · 2010–2019
A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 122 citations into it
- Cancer Research — 39 citations into it
- Biophysics — 14 citations into it
- Genetics — 10 citations into it
- Immunology — 6 citations into it
- Plant Science — 5 citations into it
Whom Baitang Ning trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aaron T. L. Lun
- Bo Li
- Heng Li
- Alexander Dobin
- Zhicheng Ji
- Rhonda L. Bacher
- Wei Vivian Li
- Davis J. McCarthy
- Oliver Stegle
- Thalia E. Chan
Papers from Baitang Ning's perspective
Ordered by how strongly the researchers Baitang Ning trusts endorse each paper. Same corpus, a different order for every researcher.
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
- Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
- Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells (Nature Biotechnology)
- Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
- Full-Length mRNA-Seq from single cell levels of RNA and individual circulating tumor cells (Nature Biotechnology)
- mRNA-Seq whole-transcriptome analysis of a single cell (Nature Methods)
- Alternative Isoform Regulation in Human Tissue Transcriptomes (Nature)
- Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. (Genome Research)
Their papers
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium (2014) — 938 citations
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models (2010) — 549 citations
- Single-Cell RNA-Seq Technologies and Related Computational Data Analysis (2019) — 803 citations