Raul Ramos
Nature Communications · 2020–2023
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Raul Ramos trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov (in Optimization & Training)
Papers from Raul Ramos's perspective
Ordered by how strongly the researchers Raul Ramos trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal Transport: Old and New
- Slide-seq: A Scalable Technology for Measuring Genome-Wide Expression at High Spatial Resolution (Science)
- Scikit-learn: Machine Learning in Python
- The Optimal Partial Transport Problem
- 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)
- Computational Optimal Transport
- Scaling algorithms for unbalanced optimal transport problems (Mathematics of Computation)
- Highly sensitive spatial transcriptomics at near-cellular resolution with Slide-seqV2 (Nature Biotechnology)
- Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming (Cell)
Their papers
- Screening cell–cell communication in spatial transcriptomics via collective optimal transport (2023) — 398 citations
- Inference and analysis of cell-cell communication using CellChat (2020) — 6,604 citations