Research map / Label-efficient and robust learning / Recognition and long-tail
Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add the FR filtering mechanism and FD correction mechanism (ablation) | scTPF · Muraro, Plasschaert, and Young | ACC: 91.94 -> 95.76; 93.88 -> 97.46; 81.49 -> 84.48 | Helped |
| Add the FD correction mechanism (ablation) | scTPF with FR filtering · Muraro, Plasschaert, and Young | ACC: 93.78 -> 95.76; 97.09 -> 97.46; 82.04 -> 84.48 | Helped |
| Add the FR filtering mechanism (ablation) | scTPF with FD correction · Muraro, Plasschaert, and Young | ACC: 94.44 -> 95.76; 97.30 -> 97.46; 83.57 -> 84.48 | Helped |
| Combine probability-based F1 and topology-based F2 filtering (ablation) | scTPF · Muraro, Plasschaert, QX LM, and Young | ACC: 93.59 -> 95.76; 96.99 -> 97.46; 99.60 -> 99.71; 79.19 -> 84.48 | Helped |
| Combine global content correction T1 and local topology correction T2 (ablation) | scTPF · Muraro, Plasschaert, QX LM, and Young | ACC: 94.53 -> 95.76; 97.28 -> 97.46; 99.64 -> 99.71; 83.92 -> 84.48 | Helped |
| Use scTPF rather than scTAG | scRNA-seq clustering · Eight datasets (average) | NMI: 85.02 -> 92.93 | Helped |
| Use scTPF rather than scTAG | scRNA-seq clustering · Eight datasets (average) | ARI: 87.34 -> 94.06 | Helped |
Closest papers by meaning
- Clustering by Denoising: Latent plug-and-play diffusion for single-cell embeddings (ICLR 2026 · similarity 0.91)
- Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport (AAAI 2024 · similarity 0.88)
- A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics (AAAI 2025 · similarity 0.85)
- Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation (ICML 2025 · similarity 0.85)
- A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random (NeurIPS 2025 · similarity 0.85)
- Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data (NeurIPS 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.