Single-nucleus transcriptome analysis reveals cell-type-specific molecular signatures across reward circuitry in the human brain

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Yoav Benjamini, Yosef Hochberg · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1995 · 108.7K citations

Natural Sciences, Biostatistics, A/b Testing +13

Visualizing Data using t-SNE

Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations

Computing, Data Science, Visualization +13

Integrating single-cell transcriptomic data across different conditions, technologies, and species

Andrew Butler, Paul Hoffman, Peter Smibert et al. · Nature Biotechnology · 2018 · 14.7K citations · Full text

Life Sciences, Bioinformatics, Molecular Biology +14

The igraph software package for complex network research

Gábor Csárdi, Tamás Nepusz · Medical Entomology and Zoology · 2006 · 10.4K citations

Computing, Biostatistics, Computer Networks +10

UMAP: Uniform Manifold Approximation and Projection

Leland McInnes, John Healy, Nathaniel Saul et al. · The Journal of Open Source Software · 2018 · 9.6K citations · Full text

Computing, Computer Science, Data Visualization +12