Comment on "Data Fission: Splitting a Single Data Point", Data Fission for Unsupervised Learning: A Discussion on Post-Clustering Inference and the Challenges of Debiasing.
作者信息
Wang Changhu, Ge Xinzhou, Song Dongyuan, Li Jingyi Jessica
机构信息
Department of Statistics and Data Science, University of California, Los Angeles.
Department of Statistics, Oregon State University.
出版信息
J Am Stat Assoc. 2025;120(549):174-175. doi: 10.1080/01621459.2024.2412191. Epub 2025 Apr 14.
Abstract
摘要
相似文献
1
Comment on "Data Fission: Splitting a Single Data Point", Data Fission for Unsupervised Learning: A Discussion on Post-Clustering Inference and the Challenges of Debiasing.关于《数据裂变：拆分单个数据点》的评论，无监督学习中的数据裂变：关于聚类后推理及去偏挑战的讨论
J Am Stat Assoc. 2025;120(549):174-175. doi: 10.1080/01621459.2024.2412191. Epub 2025 Apr 14.
2
Unlocking the Potential of Clustering and Classification Approaches: Navigating Supervised and Unsupervised Chemical Similarity.解锁聚类和分类方法的潜力：探索有监督和无监督的化学相似性。
Environ Health Perspect. 2024 Aug;132(8):85002. doi: 10.1289/EHP14001. Epub 2024 Aug 6.
3
Federated Adversarial Debiasing for Fair and Transferable Representations.用于公平且可转移表示的联邦对抗去偏
KDD. 2021 Aug;2021:617-627. doi: 10.1145/3447548.3467281. Epub 2021 Aug 14.
4
Debiasing Health-Related Judgments and Decision Making: A Systematic Review.纠正与健康相关的判断和决策：系统评价。
Med Decis Making. 2018 Jan;38(1):3-13. doi: 10.1177/0272989X17716672. Epub 2017 Jun 25.
5
Unsupervised learning to identify symptom clusters in older adults undergoing chemotherapy.无监督学习用于识别接受化疗的老年人的症状群。
J Geriatr Oncol. 2025 Apr;16(3):102222. doi: 10.1016/j.jgo.2025.102222. Epub 2025 Mar 14.
6
Selective inference for -means clustering.均值聚类的选择性推断。
J Mach Learn Res. 2023 May;24.
7
Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation.将深度监督学习、自监督学习和无监督学习相结合进行单细胞 RNA-seq 聚类和注释。
Genes (Basel). 2020 Jul 14;11(7):792. doi: 10.3390/genes11070792.
8
Coupled co-clustering-based unsupervised transfer learning for the integrative analysis of single-cell genomic data.基于耦合协同聚类的无监督迁移学习在单细胞基因组数据综合分析中的应用。
Brief Bioinform. 2021 Jul 20;22(4). doi: 10.1093/bib/bbaa347.
9
Inference on subgroups identified based on a heterogeneous treatment effect in a post hoc analysis of a clinical trial.基于临床试验事后分析中异质治疗效果识别的亚组推断。
Clin Trials. 2023 Aug;20(4):370-379. doi: 10.1177/17407745231173055. Epub 2023 May 11.
10
The Utility of Unsupervised Machine Learning in Anatomic Pathology.无监督机器学习在解剖病理学中的应用。
Am J Clin Pathol. 2022 Jan 6;157(1):5-14. doi: 10.1093/ajcp/aqab085.
引用本文的文献
1
Almost Free Enhancement of Multi-Population PRS: From Data-Fission to Pseudo-GWAS Subsampling.多群体PRS的近乎免费增强：从数据裂变到伪全基因组关联研究子采样
bioRxiv. 2025 Jun 20:2025.06.16.659952. doi: 10.1101/2025.06.16.659952.
本文引用的文献
1
Comments on "Data fission: splitting a single data point" by James Leiner, Boyan Duan, Larry Wasserman, and Aaditya Ramdas.对詹姆斯·莱纳、段博岩、拉里·瓦瑟曼和阿迪蒂亚·拉姆达斯所著的《数据裂变：拆分单个数据点》的评论
J Am Stat Assoc. 2025;120(549):176-177. doi: 10.1080/01621459.2024.2412808. Epub 2025 Apr 14.
2
Selective Inference for Hierarchical Clustering.层次聚类的选择性推断
J Am Stat Assoc. 2024;119(545):332-342. doi: 10.1080/01621459.2022.2116331. Epub 2022 Oct 11.
3
Selective inference for -means clustering.均值聚类的选择性推断。
J Mach Learn Res. 2023 May;24.
4
Inference after latent variable estimation for single-cell RNA sequencing data.单细胞 RNA 测序数据中潜在变量估计后的推断。
Biostatistics. 2023 Dec 15;25(1):270-287. doi: 10.1093/biostatistics/kxac047.
5
Valid Post-clustering Differential Analysis for Single-Cell RNA-Seq.单细胞 RNA-Seq 的有效聚类后差异分析。
Cell Syst. 2019 Oct 23;9(4):383-392.e6. doi: 10.1016/j.cels.2019.07.012. Epub 2019 Sep 11.
Zotero 插件