Bollywood News

Limitations of cell embedding metrics assessed using drifting islands

  • De Sande, BV et al. Applications of unilateral RNA arrangement in drug discovery and development. NAT. Rev. Discov. 22496-520 (2023).

    Article
    Pubmed
    PUBMED center

    Google Academic

  • Zhang, MJ et al. Polenic enrichment distinguishes disease relationships of individual cells in single-celled RNA-SEQ data. NAT. Genet. 541572–1580 (2022).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Rood, Je et al. The effect of human cell atlas on medicine. NAT. Med. 282486-2496 (2022).

    Article
    Cas
    Pubmed

    Google Academic

  • Rood, Je et al. Human cell atlas from a cell census to a basic model. Nature 6371065-1071 (2025).

    Article
    Cas
    Pubmed

    Google Academic

  • Hao, Y. et al. Integrated analysis of multimodal single -celled data. Cell 1843573-3587.E29 (2021).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Theodoris, CV et al. Transfer learning provides estimates in network biology. Nature 618616-624 (2023).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Heimberg, G. et al. A basic model of a cell atlas for the diarrhebible quest of similar human cells. Nature 6381085-1094 (2025).

    Article
    Cas
    Pubmed

    Google Academic

  • Rosen, Y. et al. Universal Cell Burial: A basic model for cell biology. Stand out Biorxiv https://doi.org/10.1101/2023.11.28.568918 (2023).

  • Cui, H. et al. SCGPT: Towards creating a basic model for single -celled multiple omics using the general AI. NAT. Method 211470–1480 (2024).

    Article
    Cas
    Pubmed

    Google Academic

  • Hao, M. et al. Large -scale basic model on single -celled transcriptomic. NAT. Method 211481–1491 (2024).

    Article
    Cas
    Pubmed

    Google Academic

  • Luecken, MD et al. Comparison of data integration at atlas level in single -celled genomics. NAT. Method 1941-50 (2022).

    Article
    Cas
    Pubmed

    Google Academic

  • Tran, HTN et al. A criterion of collective impact correction methods for single -celled RNA sequence data. Genome Biol. 2112 (2020).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Wang, H. et al. Scientific discovery in the age of artificial intelligence. Nature 62047-60 (2023).

    Article
    Cas
    Pubmed

    Google Academic

  • Liu, T., Li, K., Wang, Y., Li, H. & Zhao, H. Evaluation of the Benefits of Basic Models in Single Cell Data Analysis. Stand out Biorxiv https://doi.org/10.1101/2023.09.08.55192 (2023).

  • Kedzierska, Kz, Crawford, L., Amini, AP & LU, AX Zero-Swot assessment reveals the limitations of single-celled basic models. Genome Biol. 26101 (2025).

    Article
    Pubmed
    PUBMED center

    Google Academic

  • Zhang, H., Cisse, M., Dauphin, Yn and Lopez-Paz, D. Mixup: Beyond the minimization of empirical risk. Stand out https://arxiv.org/abs/1710.09412 (2018).

  • Siletti, K. et al. Transcriptomic diversity of cell types in adult human brain. Science 382EADD7046 (2023).

    Article
    Cas
    Pubmed

    Google Academic

  • Kumar, T. et al. Adult human breast spatially dissolved single -celled genomic horse. Nature 620181–191 (2023).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Wang, SK et al. Single -celled multioma and deep learning of the human retina call causal variants in complex eye diseases. Cell genome. 2100164 (2022).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Elmentaite, R. et al. The unilateral sequence of the developing human intestine reveals transcriptional connections to Crohn’s disease in childhood. Giant. Cell 55771-783.E5 (2020).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Knight-Schrijver, VR et al. A single -celled comparison of adult and fetal human epicardies defines age -related changes in epicardial activity. NAT. Cardiovask. Res. 11215–1229 (2022).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • O, P. et al. A human fetal lung cell atlas reveals proximal -distal differentiation gradients and key regulators of epithelial fate. Cell 1854841-4860.E25 (2022).

    Article
    Cas
    Pubmed

    Google Academic

  • Solé-Boldo, L. et al. Single -celled transcriptoms of the human skin reveal the loss of age -related fibroblast priming. Commune. Biol. 3188 (2020).

    Article
    Pubmed
    PUBMED center

    Google Academic

  • Heumos, L. et al. The best practices for single -celled analysis in modalities. NAT. Rev. Genet. 24550-572 (2023).

    Article
    Cas
    Pubmed

    Google Academic

  • Korsunsky, I. et al. Fast, sensitive and accurate integration of single -celled data with harmony. NAT. Method 161289–1296 (2019).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Hie, B., Bryson, B. & Berger, B. Effective integration of heterogeneous single -celled transcripts using Scanorama. NAT. Biotechnol. 37685-691 (2019).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Polański, K. et al. BBKNN: Rapid collective alignment of single cell transcripts. Bioinformatics 36964-965 (2020).

    Article
    Pubmed

    Google Academic

  • Haghverdi, L. et al. Collective effects in single -celled RNA sequence data are corrected by the matching of the nearest neighbors. NAT. Biotechnol. 36421–427 (2018).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Lopez, R. et al. Deep productive modeling for single -celled transcriptomic. NAT. Method 151053-1058 (2018).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • XU, C. et al. Probably compliance and disclosure of single -celled transcriptomic data with deep productive models. Mole. SYST. Biol. 17E9620 (2021).

    Article
    Pubmed
    PUBMED center

    Google Academic

  • Lotfollahi, M., Wolf, Fa & Theis, FJ SCGEN envisages uniform perturbation responses. NAT. Method 16715–721 (2019).

    Article
    Cas
    Pubmed

    Google Academic

  • De Donno, C. et al. The integration of single -celled data clusters at the population level provides a multi -scale analysis between samples. NAT. Method 201683-1692 (2023).

    Article
    Pubmed
    PUBMED center

    Google Academic

  • Khosla, P. et al. Controlled learning. Inside Developments in Neural Information Processing Systems 33 (Eds Larochelle, H. et al.) 18661-18673 (Neurips, 2020).

  • Hoffer, E. & Aileon, N. Trilateral Networking Deep Metric Learning. Inside Similarity -based pattern recognition: simbad 2015 (Eds waiver, A. et al.) 84-92 (Springer, 2015).

  • Sikkema, L. et al. An integrated cell Atlas of the human lung in health and disease. NAT. Med. 291563–1577 (2023).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • XU, C. et al. Automatic cell type compliance and integration in human cell atlas data clusters. Cell 1865876-5891.E20 (2023).

    Article
    Cas
    Pubmed

    Google Academic

  • Wolf, FA, Angerer, P. & Theis, Fj Scanpy: Large -scale single -celled gene expression data analysis. Genome Biol. 1915 (2018).

    Article
    Pubmed
    PUBMED center

    Google Academic

  • Visualization of data using Van der Maaten, L. & Hinton, G. T-Sne. J. Mach. To learn. Res. 92579-2605 (2008).

    Google Academic

  • Becht, E. et al. Dimensional reduction for visualization of single -celled data using UMAP. NAT. Biotechnol. 3738-44 (2019).

    Article
    Cas

    Google Academic

  • Gayoso, A. et al. A Python Library for the probability of single -celled omic data. NAT. Biotechnol. 40163-166 (2022).

    Article
    Cas
    Pubmed

    Google Academic

  • Su, Y. et al. Multi-OICS solves a sharp disease shift between light and moderate Covid-19. Cell 1831479–1495.E20 (2020).

    Article
    Cas
    Pubmed
    PUBMED center

    Google Academic

  • Luecken, M. et al. Atlas level data integration in single-celled genomic comparison-integration task data clusters. figure https://doi.org/10.6084/m9.figshare.12420968 (2022).

  • Related Articles

    Leave a Reply

    Your email address will not be published. Required fields are marked *

    Back to top button