Zhicheng Ji
Molecular Biology · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 24 citations into it; #6,639 of 17,773 by trust here, #12,227 by citations
Whom Zhicheng Ji trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chris Fraley
- Yoav Benjamini
- A. Schulze
- Florian Buettner
- Laleh Haghverdi
- Zhong Wang
- Ali Mortazavi
- Adrian E. Raftery
- Peng Qiu
- Y. Hochberg
Who trusts Zhicheng Ji overall
- Geng Chen
- Il-Youp Kwak
- Kelly Street
- F. Alexander Wolf
- Baitang Ning
- Davide Risso
- Wuming Gong
- Aaron T. L. Lun
- Tieliu Shi
- Fiona Kathryn Hamey
Papers from Zhicheng Ji's perspective
Ordered by how strongly the researchers Zhicheng Ji trusts endorse each paper. Same corpus, a different order for every researcher.
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
- Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE (Nature Biotechnology)
- RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- mRNA-Seq whole-transcriptome analysis of a single cell (Nature Methods)
- Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. (Genome Research)
- Single-cell RNA-seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesis (Cell Stem Cell)
- Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B cell Development (Cell)
Their papers
- TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis (2016) — 572 citations
- TCF-1-centered transcriptional network drives an effector versus exhausted CD8 T cell fate decision (2019) — 616 citations