ArticleNucleic acids research2018
dropClust: efficient clustering of ultra-large scRNA-seq data.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
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Who cites it
74 citing papers in PubMed.
- The Chromatin Accessibility Landscape of Peripheral Blood Mononuclear Cells in Patients With Systemic Lupus Erythematosus at Single-Cell Resolution.Frontiers in immunology · 2021Trial
- Histotripsy-Initiated Immune Response Synergizes with Chemotherapy in a Neuroblastoma Murine Model.Cancers · 2026Article
- Single-Cell and Spatial Omics: Methods and Applications.MedComm · 2026Review
- CD8Nature communications · 2026Article
- Multi-omics characterization of cachexia-related genes reveals prognostic signatures and immune landscape in breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Expression of immune-related genes and possible regulatory mechanisms in ulcerative colitis.Frontiers in molecular biosciences · 2026Article
- Single-nucleus RNA sequencing resolves microenvironmental dynamics in brown/beige adipose tissue after bariatric surgery.Journal of translational medicine · 2025Article
- Single-cell transcriptomic profiling reveals aberrant CD4⁺ naive T cell differentiation driving immune activation in Behçet's uveitis.Journal of translational medicine · 2025Article
- USP14-mediated metabolic competition impairs CD8+ T cell immunosurveillance in hepatocellular carcinoma.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Network based simultaneous embedding of cells and marker genes from scRNA-seq studies.Briefings in bioinformatics · 2025Article
- Dissecting the heterogeneity and tumor-associated dynamics of human liver group I ILC via scRNA sequencing data.Immunologic research · 2025Article
- Elucidating the dynamic tumor microenvironment through deep transcriptomic analysis and therapeutic implication of MRE11 expression patterns in hepatocellular carcinoma.Cancer cell international · 2025Article
- Blood-labyrinth barrier damage mediated by granzymes from cytotoxic lymphocytes results in hearing loss in systemic lupus erythematosus.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- BioLLM: A standardized framework for integrating and benchmarking single-cell foundation models.Patterns (New York, N.Y.) · 2025Article
- CHOIR improves significance-based detection of cell types and states from single-cell data.Nature genetics · 2025Article
- Integrating bulk and single-cell RNA sequencing data: unveiling RNA methylation and autophagy-related signatures in chronic obstructive pulmonary disease patients.Scientific reports · 2025Article
- Development and Assessment of a Prediction Model for Alzheimer's Disease Diagnosis Based on Thermoregulation-Related Genes.Combinatorial chemistry & high throughput screening · 2025Article
- Single-cell omics: experimental workflow, data analyses and applications.Science China. Life sciences · 2025Review
- Expression and potential regulatory mechanism of cellular senescence-related genes in Alzheimer's disease based on single-cell and bulk RNA datasets.Frontiers in neuroscience · 2025Article
- Integrating bioinformatics and molecular experiments to reveal the critical role of the cellular energy metabolism-related marker PLA2G1B in COPD epithelial cells.Frontiers in immunology · 2025Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Droplet based single cell transcriptomics has recently enabled parallel screening of tens of thousands of single cells. Clustering methods that scale for such high dimensional data without compromising accuracy are scarce. We exploit Locality Sensitive Hashing, an approximate nearest neighbour search technique to develop a de novo clustering algorithm for large-scale single cell data. On a number of real datasets, dropClust outperformed the existing best practice methods in terms of execution time, clustering accuracy and detectability of minor cell sub-types.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.