Kieran R. Campbell

Molecular Biology · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 163 citations into it
• Cancer Research — 44 citations into it

Whom Kieran R. Campbell trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mark D. Robinson
2. Svitlana Tyekucheva

Who trusts Kieran R. Campbell overall

1. Geng Chen
2. F. W. Townes
3. Davide Risso

Papers from Kieran R. Campbell's perspective

Ordered by how strongly the researchers Kieran R. Campbell trusts endorse each paper. Same corpus, a different order for every researcher.

1. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
2. SCANPY: large-scale single-cell gene expression data analysis
3. Comprehensive integration of single-cell data (bioRxiv)
4. StarBEAST2 Brings Faster Species Tree Inference and Accurate Estimates of Substitution Rates (bioRxiv)
5. Integrating diverse genomic data using gene sets (Genome Biology)
6. Fast gapped-read alignment with Bowtie 2
7. CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data (Genome Biology)
8. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
9. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
10. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)

Their papers

• Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R (2017) — 1,604 citations
• Eleven grand challenges in single-cell data science (2020) — 1,198 citations
• Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling (2019) — 317 citations