BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

466 related articles for article (PubMed ID: 35501393)

  • 21. Consensus clustering with missing labels (ccml): a consensus clustering tool for multi-omics integrative prediction in cohorts with unequal sample coverage.
    Li CX; Chen H; Zounemat-Kermani N; Adcock IM; Sköld CM; Zhou M; Wheelock ÅM;
    Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38205966
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A network embedding based method for partial multi-omics integration in cancer subtyping.
    Xu H; Gao L; Huang M; Duan R
    Methods; 2021 Aug; 192():67-76. PubMed ID: 32805397
    [TBL] [Abstract][Full Text] [Related]  

  • 23. BRANEnet: embedding multilayer networks for omics data integration.
    Jagtap S; Pirayre A; Bidard F; Duval L; Malliaros FD
    BMC Bioinformatics; 2022 Oct; 23(1):429. PubMed ID: 36245002
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Benchmarking multi-omics integration algorithms across single-cell RNA and ATAC data.
    Xiao C; Chen Y; Meng Q; Wei L; Zhang X
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38493343
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Multi-agent Feature Selection for Integrative Multi-omics Analysis.
    Tabakhi S; Lu H
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1638-1642. PubMed ID: 36086594
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Joint multi-omics discriminant analysis with consistent representation learning using PANDA.
    Aminu M; Hong L; Vokes N; Schmidt ST; Saad M; Zhu B; Le X; Tina C; Sheshadri A; Wang B; Jaffray D; Futreal A; Lee JJ; Byers LA; Gibbons D; Heymach J; Chen K; Cheng C; Zhang J; Wu J
    Res Sq; 2024 May; ():. PubMed ID: 38798352
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A universal framework for single-cell multi-omics data integration with graph convolutional networks.
    Gao H; Zhang B; Liu L; Li S; Gao X; Yu B
    Brief Bioinform; 2023 May; 24(3):. PubMed ID: 36929841
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Clustering and variable selection evaluation of 13 unsupervised methods for multi-omics data integration.
    Pierre-Jean M; Deleuze JF; Le Floch E; Mauger F
    Brief Bioinform; 2020 Dec; 21(6):2011-2030. PubMed ID: 31792509
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Integration of multi-omics data for integrative gene regulatory network inference.
    Zarayeneh N; Ko E; Oh JH; Suh S; Liu C; Gao J; Kim D; Kang M
    Int J Data Min Bioinform; 2017; 18(3):223-239. PubMed ID: 29354189
    [TBL] [Abstract][Full Text] [Related]  

  • 30. OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics Data.
    Zhang X; Xing Y; Sun K; Guo Y
    Cancers (Basel); 2021 Jun; 13(12):. PubMed ID: 34207255
    [TBL] [Abstract][Full Text] [Related]  

  • 31. STATegra: Multi-Omics Data Integration - A Conceptual Scheme With a Bioinformatics Pipeline.
    Planell N; Lagani V; Sebastian-Leon P; van der Kloet F; Ewing E; Karathanasis N; Urdangarin A; Arozarena I; Jagodic M; Tsamardinos I; Tarazona S; Conesa A; Tegner J; Gomez-Cabrero D
    Front Genet; 2021; 12():620453. PubMed ID: 33747045
    [TBL] [Abstract][Full Text] [Related]  

  • 32. MOVICS: an R package for multi-omics integration and visualization in cancer subtyping.
    Lu X; Meng J; Zhou Y; Jiang L; Yan F
    Bioinformatics; 2021 Apr; 36(22-23):5539-5541. PubMed ID: 33315104
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Single-cell biological network inference using a heterogeneous graph transformer.
    Ma A; Wang X; Li J; Wang C; Xiao T; Liu Y; Cheng H; Wang J; Li Y; Chang Y; Li J; Wang D; Jiang Y; Su L; Xin G; Gu S; Li Z; Liu B; Xu D; Ma Q
    Nat Commun; 2023 Feb; 14(1):964. PubMed ID: 36810839
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A cross-level information transmission network for hierarchical omics data integration and phenotype prediction from a new genotype.
    He D; Xie L
    Bioinformatics; 2021 Dec; 38(1):204-210. PubMed ID: 34390577
    [TBL] [Abstract][Full Text] [Related]  

  • 35. SIMBA: single-cell embedding along with features.
    Chen H; Ryu J; Vinyard ME; Lerer A; Pinello L
    Nat Methods; 2024 Jun; 21(6):1003-1013. PubMed ID: 37248389
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Paired single-cell multi-omics data integration with Mowgli.
    Huizing GJ; Deutschmann IM; Peyré G; Cantini L
    Nat Commun; 2023 Nov; 14(1):7711. PubMed ID: 38001063
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Computational approaches for network-based integrative multi-omics analysis.
    Agamah FE; Bayjanov JR; Niehues A; Njoku KF; Skelton M; Mazandu GK; Ederveen THA; Mulder N; Chimusa ER; 't Hoen PAC
    Front Mol Biosci; 2022; 9():967205. PubMed ID: 36452456
    [TBL] [Abstract][Full Text] [Related]  

  • 39. integRATE: a desirability-based data integration framework for the prioritization of candidate genes across heterogeneous omics and its application to preterm birth.
    Eidem HR; Steenwyk JL; Wisecaver JH; Capra JA; Abbot P; Rokas A
    BMC Med Genomics; 2018 Nov; 11(1):107. PubMed ID: 30453955
    [TBL] [Abstract][Full Text] [Related]  

  • 40. PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration.
    Wieder C; Cooke J; Frainay C; Poupin N; Bowler R; Jourdan F; Kechris KJ; Lai RP; Ebbels T
    bioRxiv; 2024 Jan; ():. PubMed ID: 38260498
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 24.