BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Forcato M, Romano O, Bicciato S. Computational methods for the integrative analysis of single-cell data. Brief Bioinform 2021;22:20-9. [PMID: 32363378 DOI: 10.1093/bib/bbaa042] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 11.0] [Reference Citation Analysis]
Number Citing Articles
1 Shaw R, Tian X, Xu J. Single-Cell Transcriptome Analysis in Plants: Advances and Challenges. Mol Plant 2021;14:115-26. [PMID: 33152518 DOI: 10.1016/j.molp.2020.10.012] [Cited by in Crossref: 13] [Cited by in F6Publishing: 11] [Article Influence: 13.0] [Reference Citation Analysis]
2 García-Sanz R, Jiménez C. Time to Move to the Single-Cell Level: Applications of Single-Cell Multi-Omics to Hematological Malignancies and Waldenström's Macroglobulinemia-A Particularly Heterogeneous Lymphoma. Cancers (Basel) 2021;13:1541. [PMID: 33810569 DOI: 10.3390/cancers13071541] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Yuan X, Wang J, Huang Y, Shangguan D, Zhang P. Single-Cell Profiling to Explore Immunological Heterogeneity of Tumor Microenvironment in Breast Cancer. Front Immunol 2021;12:643692. [PMID: 33717201 DOI: 10.3389/fimmu.2021.643692] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Peng Y, Qiao H. The Application of Single-Cell RNA Sequencing in Mammalian Meiosis Studies. Front Cell Dev Biol 2021;9:673642. [PMID: 34485276 DOI: 10.3389/fcell.2021.673642] [Reference Citation Analysis]
5 Park JH, de Lomana ALG, Marzese DM, Juarez T, Feroze A, Hothi P, Cobbs C, Patel AP, Kesari S, Huang S, Baliga NS. A Systems Approach to Brain Tumor Treatment. Cancers (Basel) 2021;13:3152. [PMID: 34202449 DOI: 10.3390/cancers13133152] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Vlachavas EI, Bohn J, Ückert F, Nürnberg S. A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research. Int J Mol Sci 2021;22:2822. [PMID: 33802234 DOI: 10.3390/ijms22062822] [Reference Citation Analysis]
7 Longo SK, Guo MG, Ji AL, Khavari PA. Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics. Nat Rev Genet 2021. [PMID: 34145435 DOI: 10.1038/s41576-021-00370-8] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
8 Argelaguet R, Cuomo ASE, Stegle O, Marioni JC. Computational principles and challenges in single-cell data integration. Nat Biotechnol 2021. [PMID: 33941931 DOI: 10.1038/s41587-021-00895-7] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 9.0] [Reference Citation Analysis]