Scott X. Atwood
Nature Methods · 2023
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Scott X. Atwood trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov (in Optimization & Training)
Papers from Scott X. Atwood's perspective
Ordered by how strongly the researchers Scott X. Atwood trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal Transport: Old and New
- The Optimal Partial Transport Problem
- Slide-seq: A Scalable Technology for Measuring Genome-Wide Expression at High Spatial Resolution (Science)
- Scikit-learn: Machine Learning in Python
- Computational Optimal Transport
- Three-dimensional intact-tissue sequencing of single-cell transcriptional states (Science)
- Inferring spatial and signaling relationships between cells from single cell transcriptomic data (Nature Communications)
- Scaling algorithms for unbalanced optimal transport problems (Mathematics of Computation)
- Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming (Cell)
- Highly sensitive spatial transcriptomics at near-cellular resolution with Slide-seqV2 (Nature Biotechnology)