Zhiliang Bai
Molecular Biology · 2020–2023
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 81 citations into it
Whom Zhiliang Bai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zhiliang Bai's perspective
Ordered by how strongly the researchers Zhiliang Bai trusts endorse each paper. Same corpus, a different order for every researcher.
- Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
- Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens.
- Large-scale simultaneous measurement of epitopes and transcriptomes in single cells
- An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites (bioRxiv)
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- The single cell transcriptional landscape of mammalian organogenesis
- Slide-seq: A Scalable Technology for Measuring Genome-Wide Expression at High Spatial Resolution (Science)
- High-definition spatial transcriptomics for in situ tissue profiling (Nature Methods)
- A single-cell molecular map of mouse gastrulation and early organogenesis (Nature)
- SpatialDE: identification of spatially variable genes (Nature Methods)
Their papers
- High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue (2020) — 782 citations
- The technological landscape and applications of single-cell multi-omics (2023) — 814 citations