BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

335 related articles for article (PubMed ID: 34331449)

  • 1. CellCall: integrating paired ligand-receptor and transcription factor activities for cell-cell communication.
    Zhang Y; Liu T; Hu X; Wang M; Wang J; Zou B; Tan P; Cui T; Dou Y; Ning L; Huang Y; Rao S; Wang D; Zhao X
    Nucleic Acids Res; 2021 Sep; 49(15):8520-8534. PubMed ID: 34331449
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. CPPLS-MLP: a method for constructing cell-cell communication networks and identifying related highly variable genes based on single-cell sequencing and spatial transcriptomics data.
    Zhang T; Wu Z; Li L; Ren J; Zhang Z; Wang G
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38678387
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database.
    Zappia L; Phipson B; Oshlack A
    PLoS Comput Biol; 2018 Jun; 14(6):e1006245. PubMed ID: 29939984
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets.
    Pont F; Tosolini M; Fournié JJ
    Nucleic Acids Res; 2019 Dec; 47(21):e133. PubMed ID: 31294801
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Inference and analysis of cell-cell communication using CellChat.
    Jin S; Guerrero-Juarez CF; Zhang L; Chang I; Ramos R; Kuan CH; Myung P; Plikus MV; Nie Q
    Nat Commun; 2021 Feb; 12(1):1088. PubMed ID: 33597522
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SEnSCA: Identifying possible ligand-receptor interactions and its application in cell-cell communication inference.
    Zhou L; Wang X; Peng L; Chen M; Wen H
    J Cell Mol Med; 2024 May; 28(9):e18372. PubMed ID: 38747737
    [TBL] [Abstract][Full Text] [Related]  

  • 8. SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model.
    Zheng Y; Zhong Y; Hu J; Shang X
    BMC Bioinformatics; 2021 Jan; 22(1):5. PubMed ID: 33407064
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods.
    Luo J; Deng M; Zhang X; Sun X
    Genome Res; 2023 Oct; 33(10):1788-1805. PubMed ID: 37827697
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A statistical simulator scDesign for rational scRNA-seq experimental design.
    Li WV; Li JJ
    Bioinformatics; 2019 Jul; 35(14):i41-i50. PubMed ID: 31510652
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones.
    Müller S; Cho A; Liu SJ; Lim DA; Diaz A
    Bioinformatics; 2018 Sep; 34(18):3217-3219. PubMed ID: 29897414
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Supervised application of internal validation measures to benchmark dimensionality reduction methods in scRNA-seq data.
    Koch FC; Sutton GJ; Voineagu I; Vafaee F
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34374742
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identify, quantify and characterize cellular communication from single-cell RNA sequencing data with scSeqComm.
    Baruzzo G; Cesaro G; Di Camillo B
    Bioinformatics; 2022 Mar; 38(7):1920-1929. PubMed ID: 35043939
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data.
    Gardeux V; David FPA; Shajkofci A; Schwalie PC; Deplancke B
    Bioinformatics; 2017 Oct; 33(19):3123-3125. PubMed ID: 28541377
    [TBL] [Abstract][Full Text] [Related]  

  • 17. TraSig: inferring cell-cell interactions from pseudotime ordering of scRNA-Seq data.
    Li D; Velazquez JJ; Ding J; Hislop J; Ebrahimkhani MR; Bar-Joseph Z
    Genome Biol; 2022 Mar; 23(1):73. PubMed ID: 35255944
    [TBL] [Abstract][Full Text] [Related]  

  • 18. FlyPhoneDB: an integrated web-based resource for cell-cell communication prediction in Drosophila.
    Liu Y; Li JSS; Rodiger J; Comjean A; Attrill H; Antonazzo G; Brown NH; Hu Y; Perrimon N
    Genetics; 2022 Mar; 220(3):. PubMed ID: 35100387
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Learning deep features and topological structure of cells for clustering of scRNA-sequencing data.
    Wang H; Ma X
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35302164
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genetic mapping of cell type specificity for complex traits.
    Watanabe K; Umićević Mirkov M; de Leeuw CA; van den Heuvel MP; Posthuma D
    Nat Commun; 2019 Jul; 10(1):3222. PubMed ID: 31324783
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.