Proximogram—A multi-omics network-based framework to capture tissue heterogeneity integrating single-cell omics and spatial profiling

被引：1

作者：

Krishnan, Santhoshi N. ^{[1
]}

Ji, Sunjong ^{[2
]}

Elhossiny, Ahmed M. ^{[1
]}

Rao, Achyutha ^{[3
]}

Frankel, Timothy L. ^{[4
]}

Rao, Arvind ^{[1
,2
,5
,6
,7
]}

机构：

[1] Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor,MI, United States

[2] Department of Pediatrics, University of Michigan, Ann Arbor,MI, United States

[3] A2STEAM School, Ann Arbor,MI, United States

[4] Department of Surgery, University of Michigan, Ann Arbor,MI, United States

[5] Department of Biostatistics, University of Michigan, Ann Arbor,MI, United States

[6] Department of Biomedical Engineering, University of Michigan, Ann Arbor,MI, United States

[7] Department of Radiation Oncology, University of Michigan, Ann Arbor,MI, United States

来源：

Computers in Biology and Medicine | 2024年 / 182卷

关键词：

D O I：

10.1016/j.compbiomed.2024.109082

中图分类号：

学科分类号：

摘要：

引用

共 50 条

[11] Spatial integration of multi-omics single-cell data with SIMO
Yang, Penghui
Jin, Kaiyu
Yao, Yue
Jin, Lijun
Shao, Xin
Li, Chengyu
Lu, Xiaoyan
Fan, Xiaohui
NATURE COMMUNICATIONS, 2025, 16 (01)
[12] Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity
Liu, Longqi
Liu, Chuanyu
Quintero, Andres
Wu, Liang
Yuan, Yue
Wang, Mingyue
Cheng, Mengnan
Leng, Lizhi
Xu, Liqin
Dong, Guoyi
Li, Rui
Liu, Yang
Wei, Xiaoyu
Xu, Jiangshan
Chen, Xiaowei
Lu, Haorong
Chen, Dongsheng
Wang, Quanlei
Zhou, Qing
Lin, Xinxin
Li, Guibo
Liu, Shiping
Wang, Qi
Wang, Hongru
Fink, J. Lynn
Gao, Zhengliang
Liu, Xin
Hou, Yong
Zhu, Shida
Yang, Huanming
Ye, Yunming
Lin, Ge
Chen, Fang
Herrmann, Carl
Eils, Roland
Shang, Zhouchun
Xu, Xun
NATURE COMMUNICATIONS, 2019, 10 (1)
[13] Single-cell multi-omics sequencing and its application in tumor heterogeneity
Sun, Yuqing
Liu, Zhiyu
Fu, Yue
Yang, Yuwei
Lu, Junru
Pan, Min
Wen, Tian
Xie, Xueying
Bai, Yunfei
Ge, Qinyu
BRIEFINGS IN FUNCTIONAL GENOMICS, 2023, 22 (04) : 313 - 328
[14] Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity
Longqi Liu
Chuanyu Liu
Andrés Quintero
Liang Wu
Yue Yuan
Mingyue Wang
Mengnan Cheng
Lizhi Leng
Liqin Xu
Guoyi Dong
Rui Li
Yang Liu
Xiaoyu Wei
Jiangshan Xu
Xiaowei Chen
Haorong Lu
Dongsheng Chen
Quanlei Wang
Qing Zhou
Xinxin Lin
Guibo Li
Shiping Liu
Qi Wang
Hongru Wang
J. Lynn Fink
Zhengliang Gao
Xin Liu
Yong Hou
Shida Zhu
Huanming Yang
Yunming Ye
Ge Lin
Fang Chen
Carl Herrmann
Roland Eils
Zhouchun Shang
Xun Xu
Nature Communications, 10
[15] Integrated Fluidic Circuits for Single-Cell Omics and Multi-omics Applications
Lynch, Mark
Ramalingam, Naveen
SINGLE MOLECULE AND SINGLE CELL SEQUENCING, 2019, 1129 : 19 - 26
[16] scMoC: single-cell multi-omics clustering
Eltager, Mostafa
Abdelaal, Tamim
Mahfouz, Ahmed
Reinders, Marcel J. T.
BIOINFORMATICS ADVANCES, 2022, 2 (01):
[17] A multi-omics approach for biomarker discovery in neuroblastoma: a network-based framework
Hussein, Rahma
Abou-Shanab, Ahmed M.
Badr, Eman
NPJ SYSTEMS BIOLOGY AND APPLICATIONS, 2024, 10 (01)
[18] Spatial multi-omics profiling of tumor cell phenotypes in primary cutaneous melanoma at single-cell resolution
Vallius, Tuulia
Novikov, Edward
Johnson, Ajit Nirmal
Shi Yingxiao
Pelletier, Roxanne
Pant, Shishir
Maliga, Zoltan
Chen, Alyce
Yapp, Clarence
Chan, Sabrina
Lian, Christine
Murphy, George F.
Santagata, Sandro
Sorger, Peter
CANCER RESEARCH, 2024, 84 (06)
[19] Single-Cell Analyses in the Multi-omics Era
Kalluri, Raghu
Mead, Adam J.
di Magliano, Marina Pasca
Filbin, Mariella
Carmeliet, Peter
Amit, Ido
CANCER CELL, 2020, 38 (01) : 9 - 10
[20] Integration of single-cell multi-omics for gene regulatory network inference
Hu, Xinlin
Hu, Yaohua
Wu, Fanjie
Leung, Ricky Wai Tak
Qin, Jing
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2020, 18 : 1925 - 1938

← 1 2 3 4 5 →