These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

170 related articles for article (PubMed ID: 35941103)

  • 1. Scarf enables a highly memory-efficient analysis of large-scale single-cell genomics data.
    Dhapola P; Rodhe J; Olofzon R; Bonald T; Erlandsson E; Soneji S; Karlsson G
    Nat Commun; 2022 Aug; 13(1):4616. PubMed ID: 35941103
    [TBL] [Abstract][Full Text] [Related]  

  • 2. PARC: ultrafast and accurate clustering of phenotypic data of millions of single cells.
    Stassen SV; Siu DMD; Lee KCM; Ho JWK; So HKH; Tsia KK
    Bioinformatics; 2020 May; 36(9):2778-2786. PubMed ID: 31971583
    [TBL] [Abstract][Full Text] [Related]  

  • 3. SSCC: A Novel Computational Framework for Rapid and Accurate Clustering Large-scale Single Cell RNA-seq Data.
    Ren X; Zheng L; Zhang Z
    Genomics Proteomics Bioinformatics; 2019 Apr; 17(2):201-210. PubMed ID: 31202000
    [TBL] [Abstract][Full Text] [Related]  

  • 4. EpiCarousel: memory- and time-efficient identification of metacells for atlas-level single-cell chromatin accessibility data.
    Li S; Li Y; Sun Y; Li Y; Chen X; Tang S; Chen S
    Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38588573
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning.
    Li X; Zhang S; Wong KC
    Bioinformatics; 2019 Aug; 35(16):2809-2817. PubMed ID: 30596898
    [TBL] [Abstract][Full Text] [Related]  

  • 6. UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization.
    Kriebel AR; Welch JD
    Nat Commun; 2022 Feb; 13(1):780. PubMed ID: 35140223
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hopper: a mathematically optimal algorithm for sketching biological data.
    DeMeo B; Berger B
    Bioinformatics; 2020 Jul; 36(Suppl_1):i236-i241. PubMed ID: 32657375
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Efficient and precise single-cell reference atlas mapping with Symphony.
    Kang JB; Nathan A; Weinand K; Zhang F; Millard N; Rumker L; Moody DB; Korsunsky I; Raychaudhuri S
    Nat Commun; 2021 Oct; 12(1):5890. PubMed ID: 34620862
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SuperCellCyto: enabling efficient analysis of large scale cytometry datasets.
    Putri GH; Howitt G; Marsh-Wakefield F; Ashhurst TM; Phipson B
    Genome Biol; 2024 Apr; 25(1):89. PubMed ID: 38589921
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters.
    Domanskyi S; Szedlak A; Hawkins NT; Wang J; Paternostro G; Piermarocchi C
    BMC Bioinformatics; 2019 Jul; 20(1):369. PubMed ID: 31262249
    [TBL] [Abstract][Full Text] [Related]  

  • 11. JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing.
    Cui T; Wang T
    BMC Genomics; 2021 Jan; 22(1):47. PubMed ID: 33430769
    [TBL] [Abstract][Full Text] [Related]  

  • 12. scGate: marker-based purification of cell types from heterogeneous single-cell RNA-seq datasets.
    Andreatta M; Berenstein AJ; Carmona SJ
    Bioinformatics; 2022 Apr; 38(9):2642-2644. PubMed ID: 35258562
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Scellpam: an R package/C++ library to perform parallel partitioning around medoids on scRNAseq data sets.
    Domingo J; Leon T; Dura E
    BMC Bioinformatics; 2023 Sep; 24(1):342. PubMed ID: 37710192
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SCHNEL: scalable clustering of high dimensional single-cell data.
    Abdelaal T; de Raadt P; Lelieveldt BPF; Reinders MJT; Mahfouz A
    Bioinformatics; 2020 Dec; 36(Suppl_2):i849-i856. PubMed ID: 33381821
    [TBL] [Abstract][Full Text] [Related]  

  • 15. GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering.
    Lu Y; Yu Z; Wang Y; Ma Z; Wong KC; Li X
    Bioinformatics; 2022 May; 38(11):3020-3028. PubMed ID: 35451457
    [TBL] [Abstract][Full Text] [Related]  

  • 16. PyLiger: scalable single-cell multi-omic data integration in Python.
    Lu L; Welch JD
    Bioinformatics; 2022 May; 38(10):2946-2948. PubMed ID: 35561174
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
    Lin P; Troup M; Ho JW
    Genome Biol; 2017 Mar; 18(1):59. PubMed ID: 28351406
    [TBL] [Abstract][Full Text] [Related]  

  • 18. GE-Impute: graph embedding-based imputation for single-cell RNA-seq data.
    Wu X; Zhou Y
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35901457
    [TBL] [Abstract][Full Text] [Related]  

  • 19. LSMMD-MA: scaling multimodal data integration for single-cell genomics data analysis.
    Meng-Papaxanthos L; Zhang R; Li G; Cuturi M; Noble WS; Vert JP
    Bioinformatics; 2023 Jul; 39(7):. PubMed ID: 37421399
    [TBL] [Abstract][Full Text] [Related]  

  • 20. VPAC: Variational projection for accurate clustering of single-cell transcriptomic data.
    Chen S; Hua K; Cui H; Jiang R
    BMC Bioinformatics; 2019 May; 20(Suppl 7):0. PubMed ID: 31074382
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.