Angelo Duò

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 25 citations into it; #12,947 of 17,773 by trust here, #13,563 by citations
• Cancer Research — 9 citations into it

Whom Angelo Duò trusts overall

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

1. Tallulah S. Andrews
2. Martin Hemberg
3. Ulrike von Luxburg
4. L. V. D. van der Maaten

Who trusts Angelo Duò overall

1. Peng Qiu
2. Ying Ma

Papers from Angelo Duò's perspective

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

1. Modelling dropouts for feature selection in scRNASeq experiments
2. Clustering Stability: An Overview
3. Visualizing Data using t-SNE
4. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
5. Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Learning Multiple Layers of Features from Tiny Images
9. Single cell RNA Seq reveals dynamic paracrine control of cellular variation (Nature)
10. Gradient-based learning applied to document recognition

Their papers

• A systematic performance evaluation of clustering methods for single-cell RNA-seq data (2018) — 331 citations