Geng Chen
Molecular Biology · with Wang · 2012–2019
A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 90 citations into it
- Cancer Research — 35 citations into it
- Biophysics — 14 citations into it
- Immunology — 6 citations into it
Whom Geng Chen 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
- Oliver Stegle
- Davis J. McCarthy
- Cole Trapnell
Who trusts Geng Chen overall
Papers from Geng Chen's perspective
Ordered by how strongly the researchers Geng Chen 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)
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- 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)
- Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
- mRNA-Seq whole-transcriptome analysis of a single cell (Nature Methods)
Their papers
- LncRNADisease: a database for long-non-coding RNA-associated diseases (2012) — 917 citations
- Single-Cell RNA-Seq Technologies and Related Computational Data Analysis (2019) — 803 citations