Andrew W. Butler
Molecular Biology · 2017–2020
A researcher in the Science corpus: 8 papers; trusts 11 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 193 citations into it; #4,319 of 17,773 by trust here, #1,344 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
- Artificial Intelligence — 8 citations into it
- Spectroscopy — 6 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Andrew W. Butler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rahul Satija
- Allan Aasbjerg Nielsen
- Toni Giorgino
- Robert Tibshirani
- Ludo Waltman
- Chen Xu
- James Baglama
- Daniela M. Witten
- Trevor J. Hastie
- Peter V. Kharchenko
Who trusts Andrew W. Butler overall
- Tim Stuart
- Zixuan Cang
- Malte D. Luecken
- Matthew D. Young
- Nicholas C Borcherding
- Yuqi Tan
- Brian L. Hie
- Christopher S. McGinnis
- Hoa T M Tran
- Oscar Franzén
Papers from Andrew W. Butler's perspective
Ordered by how strongly the researchers Andrew W. Butler 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)
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- Visualizing Data using t-SNE
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- Adult Mouse Cortical Cell Taxonomy by Single Cell Transcriptomics
- Spatial reconstruction of single-cell gene expression
- Relations Between Two Sets of Variates
- Adjusting batch effects in microarray expression data using empirical Bayes methods. (Biostatistics)
Their papers
- Comprehensive integration of single-cell data (2018) — 13,024 citations
- Integrating single-cell transcriptomic data across different conditions, technologies, and species (2018) — 10,784 citations
- Integrated analysis of multimodal single-cell data (2020) — 12,409 citations
- Seq-Well: A Portable, Low-Cost Platform for High-Throughput Single-Cell RNA-Seq of Low-Input Samples (2017) — 702 citations
- Developmental diversification of cortical inhibitory interneurons (2017) — 431 citations
- The human body at cellular resolution: the NIH Human Biomolecular Atlas Program (2019) — 537 citations
- Erratum: Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput (2017) — 220 citations
- Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes and progenitors (2017) — 2,211 citations