Christopher Lance
Molecular Biology · 2023
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 115 citations into it
Whom Christopher Lance trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Christopher Lance's perspective
Ordered by how strongly the researchers Christopher Lance trusts endorse each paper. Same corpus, a different order for every researcher.
- SCANPY: large-scale single-cell gene expression data analysis
- Integrating single-cell transcriptomic data across different conditions, technologies, and species
- RNA velocity of single cells (Nature)
- Large-scale simultaneous measurement of epitopes and transcriptomes in single cells
- Robust decomposition of cell type mixtures in spatial transcriptomics (Nature Biotechnology)
- Multiplexed quantification of proteins and transcripts in single cells (Nature Biotechnology)
- Efficient integration of heterogeneous single-cell transcriptomes using Scanorama (Nature Biotechnology)
- Slide-seq: A Scalable Technology for Measuring Genome-Wide Expression at High Spatial Resolution (Science)
- Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
- Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression (Genome Biology)
Their papers
- Best practices for single-cell analysis across modalities (2023) — 828 citations