首页> ArXiv> Integrating spatially-resolved transcriptomics data across tissues and individuals: challenges and opportunities.

Integrating spatially-resolved transcriptomics data across tissues and individuals: challenges and opportunities.

导出 LinkOut

翻译打印收藏纠错

第一作者： Boyi,Guo

第一单位： Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

作者： Boyi,Guo ^[1] ; Wodan,Ling ^[2] ; Sang Ho,Kwon ^[3] ; Pratibha,Panwar ^[4] ; Shila,Ghazanfar ^[4] ; Keri,Martinowich ^[5] ; Stephanie C,Hicks ^[6]

作者单位： Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. ^[1] Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, NY, USA. ^[2] Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.;Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA.;Biochemistry, Cellular, and Molecular Biology Graduate Program, Johns Hopkins School of Medicine, Baltimore, MD, USA. ^[3] School of Mathematics and Statistics, The University of Sydney, NSW 2006, Australia.;Sydney Precision Data Science Centre, University of Sydney, NSW 2006, Australia.;Charles Perkins Centre, The University of Sydney, NSW 2006, Australia. ^[4] Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.;Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA.;Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.;Johns Hopkins Kavli Neuroscience Discovery Institute, Baltimore, MD, USA.;Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. ^[5] Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.;Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA.;Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD, USA. ^[6]

关键词 Spatially-resolved transcriptomics integrative analysis multi-sample population-level spatial alignment spatial registration

PMID 39130195

发布时间 2026-01-14

基金项目

R01 GM151301/GM/NIGMS NIH HHS/United States R01 MH126393/MH/NIMH NIH HHS/United States

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

ArXiv

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览0

检索历史清除

Integrating spatially-resolved transcriptomics data across tissues and individuals: challenges and opportunities.

ArXiv

相似文献

同项目论文

ArXiv

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Integrating spatially-resolved transcriptomics data across tissues and individuals: challenges and opportunities.

ArXiv

相似文献

同项目论文

ArXiv

相关期刊

检索历史清除