127 related articles for article (PubMed ID: 36382188)
1. CommPath: An R package for inference and analysis of pathway-mediated cell-cell communication chain from single-cell transcriptomics.
Lu H; Ping J; Zhou G; Zhao Z; Gao W; Jiang Y; Quan C; Lu Y; Zhou G
Comput Struct Biotechnol J; 2022; 20():5978-5983. PubMed ID: 36382188
[TBL] [Abstract][Full Text] [Related]
2. CellTalkDB: a manually curated database of ligand-receptor interactions in humans and mice.
Shao X; Liao J; Li C; Lu X; Cheng J; Fan X
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33147626
[TBL] [Abstract][Full Text] [Related]
3. PlantPhoneDB: A manually curated pan-plant database of ligand-receptor pairs infers cell-cell communication.
Xu C; Ma D; Ding Q; Zhou Y; Zheng HL
Plant Biotechnol J; 2022 Nov; 20(11):2123-2134. PubMed ID: 35842742
[TBL] [Abstract][Full Text] [Related]
4. Cellinker: a platform of ligand-receptor interactions for intercellular communication analysis.
Zhang Y; Liu T; Wang J; Zou B; Li L; Yao L; Chen K; Ning L; Wu B; Zhao X; Wang D
Bioinformatics; 2021 Jan; ():. PubMed ID: 33471060
[TBL] [Abstract][Full Text] [Related]
5. Unraveling the intercellular communication disruption and key pathways in Alzheimer's disease: An integrative study of single-nucleus transcriptomes and genetic association.
Liu A; Fernandes BS; Citu C; Zhao Z
Res Sq; 2023 Sep; ():. PubMed ID: 37790454
[TBL] [Abstract][Full Text] [Related]
6. SingleCellSignalR: inference of intercellular networks from single-cell transcriptomics.
Cabello-Aguilar S; Alame M; Kon-Sun-Tack F; Fau C; Lacroix M; Colinge J
Nucleic Acids Res; 2020 Jun; 48(10):e55. PubMed ID: 32196115
[TBL] [Abstract][Full Text] [Related]
7. Receptor-ligand pair typing and prognostic risk model for papillary thyroid carcinoma based on single-cell sequencing.
Cao ZX; Weng X; Huang JS; Long X
Front Immunol; 2022; 13():902550. PubMed ID: 35935973
[TBL] [Abstract][Full Text] [Related]
8. A systematic evaluation of the computational tools for ligand-receptor-based cell-cell interaction inference.
Wang S; Zheng H; Choi JS; Lee JK; Li X; Hu H
Brief Funct Genomics; 2022 Sep; 21(5):339-356. PubMed ID: 35822343
[TBL] [Abstract][Full Text] [Related]
9. Decoding functional cell-cell communication events by multi-view graph learning on spatial transcriptomics.
Li H; Ma T; Hao M; Guo W; Gu J; Zhang X; Wei L
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37824741
[TBL] [Abstract][Full Text] [Related]
10. InterCellDB: A User-Defined Database for Inferring Intercellular Networks.
Jin Z; Zhang X; Dai X; Huang J; Hu X; Zhang J; Shi L
Adv Sci (Weinh); 2022 Aug; 9(22):e2200045. PubMed ID: 35652265
[TBL] [Abstract][Full Text] [Related]
11. Computational exploration of cellular communication in skin from emerging single-cell and spatial transcriptomic data.
Jin S; Ramos R
Biochem Soc Trans; 2022 Feb; 50(1):297-308. PubMed ID: 35191953
[TBL] [Abstract][Full Text] [Related]
12. CellDialog: A Computational Framework for Ligand-receptor-mediated Cell-cell Communication Analysis III.
Peng L; Xiong W; Han C; Li Z; Chen X
IEEE J Biomed Health Inform; 2023 Nov; PP():. PubMed ID: 37976192
[TBL] [Abstract][Full Text] [Related]
13. LR Hunting: A Random Forest Based Cell-Cell Interaction Discovery Method for Single-Cell Gene Expression Data.
Lu M; Sha Y; Silva TC; Colaprico A; Sun X; Ban Y; Wang L; Lehmann BD; Chen XS
Front Genet; 2021; 12():708835. PubMed ID: 34497635
[TBL] [Abstract][Full Text] [Related]
14. Cell-cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies.
Peng L; Wang F; Wang Z; Tan J; Huang L; Tian X; Liu G; Zhou L
Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35753695
[TBL] [Abstract][Full Text] [Related]
15. Intercellular Communication-Related Molecular Subtypes and a Gene Signature Identified by the Single-Cell RNA Sequencing Combined with a Transcriptomic Analysis.
Guan P; Cai W; Wu K; Jiang F; Wu J; Zhai X; Zeng M
Dis Markers; 2022; 2022():6837849. PubMed ID: 35620271
[TBL] [Abstract][Full Text] [Related]
16. Identification of Ligand-Receptor Pairs Associated With Tumour Characteristics in Clear Cell Renal Cell Carcinoma.
Liu F; Wang P; Sun W; Jiang Y; Gong Q
Front Immunol; 2022; 13():874056. PubMed ID: 35734169
[TBL] [Abstract][Full Text] [Related]
17. CrossTalkeR: analysis and visualization of ligand-receptorne tworks.
Nagai JS; Leimkühler NB; Schaub MT; Schneider RK; Costa IG
Bioinformatics; 2021 Nov; 37(22):4263-4265. PubMed ID: 35032393
[TBL] [Abstract][Full Text] [Related]
18. Identification of Cell Subpopulations and Interactive Signaling Pathways From a Single-Cell RNA Sequencing Dataset in Osteosarcoma: A Comprehensive Bioinformatics Analysis.
Wu R; Dou X; Li H; Sun Z; Li H; Shen Y; Weng W; Min J
Front Oncol; 2022; 12():853979. PubMed ID: 35515114
[TBL] [Abstract][Full Text] [Related]
19. Inferring neuron-neuron communications from single-cell transcriptomics through NeuronChat.
Zhao W; Johnston KG; Ren H; Xu X; Nie Q
bioRxiv; 2023 Jan; ():. PubMed ID: 36712056
[TBL] [Abstract][Full Text] [Related]
20. CellCallEXT: Analysis of Ligand-Receptor and Transcription Factor Activities in Cell-Cell Communication of Tumor Immune Microenvironment.
Gao S; Feng X; Wu Z; Kajigaya S; Young NS
Cancers (Basel); 2022 Oct; 14(19):. PubMed ID: 36230879
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]