Michael Troup

Molecular Biology · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 15 citations into it; #8,586 of 17,773 by trust here, #12,742 by citations

Whom Michael Troup trusts overall

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

1. Emma Pierson
2. Chen Xu
3. Peter V. Kharchenko
4. Aaron T. L. Lun
5. Antonio Scialdone
6. Florian Buettner

Who trusts Michael Troup overall

1. Wei Vivian Li
2. Luke Zappia
3. Tian Tian
4. Il-Youp Kwak

Papers from Michael Troup's perspective

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

1. Bayesian approach to single-cell differential expression analysis (Nature Methods)
2. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells (Nature Biotechnology)
3. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
4. Visualizing Data using t-SNE
5. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
6. A survey of human brain transcriptome diversity at the single cell level (Proceedings of the National Academy of Sciences of the United States of America)
7. ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis (Genome Biology)
8. Identification of cell types from single-cell transcriptomes using a novel clustering method (Bioinform.)
9. Single-cell messenger RNA sequencing reveals rare intestinal cell types (Nature)
10. Pooling across cells to normalize single-cell RNA sequencing data with many zero counts (Genome Biology)

Their papers

• CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data (2016) — 501 citations