Anna Kuchina

Science · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Anna Kuchina's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. The Vienna RNA Websuite (Nucleic Acids Res.)
3. STAR: ultrafast universal RNA-seq aligner (Bioinform.)
4. Enzymatic assembly of DNA molecules up to several hundred kilobases
5. ggplot2: Elegant Graphics for Data Analysis
6. ViennaRNA Package 2.0 (Algorithms for Molecular Biology)
7. An improved yeast transformation method for the generation of very large human antibody libraries.
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Gradient-based learning applied to document recognition
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• SPLiT-seq reveals cell types and lineages in the developing brain and spinal cord (2018) — 1,182 citations
• Deep learning of the regulatory grammar of yeast 5′ untranslated regions from 500,000 random sequences (2017) — 193 citations