Naoko Koyano-Nakagawa

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 33 citations into it
• Biophysics — 10 citations into it

Whom Naoko Koyano-Nakagawa trusts overall

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

1. David Sculley
2. Emma Pierson
3. L. V. D. van der Maaten
4. Chen Xu
5. Zhicheng Ji
6. Wei Vivian Li

Papers from Naoko Koyano-Nakagawa's perspective

Ordered by how strongly the researchers Naoko Koyano-Nakagawa trusts endorse each paper. Same corpus, a different order for every researcher.

1. Visualizing Data using t-SNE
2. Bayesian approach to single-cell differential expression analysis (Nature Methods)
3. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
4. Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
5. ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis (Genome Biology)
6. mRNA-Seq whole-transcriptome analysis of a single cell (Nature Methods)
7. Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
8. Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex (Nature Biotechnology)
9. Pseudo-temporal ordering of individual cells reveals dynamics and regulators of cell fate decisions (Nature Biotechnology)
10. Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing (Nature Neuroscience)

Their papers

• DrImpute: imputing dropout events in single cell RNA sequencing data (2017) — 298 citations