BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

318 related articles for article (PubMed ID: 35130112)

  • 1. CITEMO
    Hu H; Liu R; Zhao C; Lu Y; Xiong Y; Chen L; Jin J; Ma Y; Su J; Yu Z; Cheng F; Ye F; Liu L; Zhao Q; Shuai J
    RNA Biol; 2022 Jan; 19(1):290-304. PubMed ID: 35130112
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modeling and analyzing single-cell multimodal data with deep parametric inference.
    Hu H; Feng Z; Lin H; Zhao J; Zhang Y; Xu F; Chen L; Chen F; Ma Y; Su J; Zhao Q; Shuai J
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36642414
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrated analysis of multimodal single-cell data.
    Hao Y; Hao S; Andersen-Nissen E; Mauck WM; Zheng S; Butler A; Lee MJ; Wilk AJ; Darby C; Zager M; Hoffman P; Stoeckius M; Papalexi E; Mimitou EP; Jain J; Srivastava A; Stuart T; Fleming LM; Yeung B; Rogers AJ; McElrath JM; Blish CA; Gottardo R; Smibert P; Satija R
    Cell; 2021 Jun; 184(13):3573-3587.e29. PubMed ID: 34062119
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-task learning from multimodal single-cell omics with Matilda.
    Liu C; Huang H; Yang P
    Nucleic Acids Res; 2023 May; 51(8):e45. PubMed ID: 36912104
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Spectral clustering of single-cell multi-omics data on multilayer graphs.
    Zhang S; Leistico JR; Cho RJ; Cheng JB; Song JS
    Bioinformatics; 2022 Jul; 38(14):3600-3608. PubMed ID: 35652725
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Orthogonal multimodality integration and clustering in single-cell data.
    Liu Y; Chen Y; Lu H; Zhong W; Yuan GC; Ma P
    BMC Bioinformatics; 2024 Apr; 25(1):164. PubMed ID: 38664601
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique.
    Zhou M; Zhang H; Bai Z; Mann-Krzisnik D; Wang F; Li Y
    STAR Protoc; 2024 Jun; 5(2):103066. PubMed ID: 38748882
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Ensemble learning models that predict surface protein abundance from single-cell multimodal omics data.
    Xu F; Wang S; Dai X; Mundra PA; Zheng J
    Methods; 2021 May; 189():65-73. PubMed ID: 33039573
    [TBL] [Abstract][Full Text] [Related]  

  • 9. HelPredictor models single-cell transcriptome to predict human embryo lineage allocation.
    Liang P; Zheng L; Long C; Yang W; Yang L; Zuo Y
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34037706
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A generalization of t-SNE and UMAP to single-cell multimodal omics.
    Do VH; Canzar S
    Genome Biol; 2021 May; 22(1):130. PubMed ID: 33941244
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets.
    Argelaguet R; Velten B; Arnol D; Dietrich S; Zenz T; Marioni JC; Buettner F; Huber W; Stegle O
    Mol Syst Biol; 2018 Jun; 14(6):e8124. PubMed ID: 29925568
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Single-cell sequencing techniques from individual to multiomics analyses.
    Kashima Y; Sakamoto Y; Kaneko K; Seki M; Suzuki Y; Suzuki A
    Exp Mol Med; 2020 Sep; 52(9):1419-1427. PubMed ID: 32929221
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cell fate conversion prediction by group sparse optimization method utilizing single-cell and bulk OMICs data.
    Qin J; Hu Y; Yao JC; Leung RWT; Zhou Y; Qin Y; Wang J
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34374760
    [TBL] [Abstract][Full Text] [Related]  

  • 14. coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data.
    Zeng P; Lin Z
    PLoS Comput Biol; 2021 Jun; 17(6):e1009064. PubMed ID: 34077420
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Contrastively generative self-expression model for single-cell and spatial multimodal data.
    Zhang C; Yang Y; Tang S; Aihara K; Zhang C; Chen L
    Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37507114
    [TBL] [Abstract][Full Text] [Related]  

  • 16. InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation.
    Wang L; Nie R; Miao X; Cai Y; Wang A; Zhang H; Zhang J; Cai J
    BMC Bioinformatics; 2024 Jan; 25(1):41. PubMed ID: 38267858
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Single-cell network biology for resolving cellular heterogeneity in human diseases.
    Cha J; Lee I
    Exp Mol Med; 2020 Nov; 52(11):1798-1808. PubMed ID: 33244151
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Progress in single-cell multimodal sequencing and multi-omics data integration.
    Wang X; Wu X; Hong N; Jin W
    Biophys Rev; 2024 Feb; 16(1):13-28. PubMed ID: 38495443
    [TBL] [Abstract][Full Text] [Related]  

  • 19. DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
    Poirion OB; Jing Z; Chaudhary K; Huang S; Garmire LX
    Genome Med; 2021 Jul; 13(1):112. PubMed ID: 34261540
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss.
    Liu C; Wang L; Liu Z
    BMC Bioinformatics; 2023 Jan; 24(1):5. PubMed ID: 36600199
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.