ArticlePatterns (New York, N.Y.)2022
Supervised dimensionality reduction for exploration of single-cell data by HSS-LDA.
Article in Patterns (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The trial behind it
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Who cites it
16 citing papers in PubMed.
- Multi-omic profiling of human antibody-secreting cells reveals diverse subsets sustain durable humoral immunity.bioRxiv : the preprint server for biology · 2026Article
- A deep single cell mass cytometry approach to capture canonical and noncanonical cell cycle states.Nature communications · 2025Article
- Quantification of intrinsic regulatory factors refines human hematopoietic progenitor definitions and reveals early erythroid lineage priming.Cell reports · 2025Article
- Glyoxalase-1 overexpression attenuates arterial wall stiffening in diabetic mice.Cardiovascular diabetology · 2025Article
- Integrative, high-resolution analysis of single-cell gene expression across experimental conditions with PARAFAC2-RISE.Cell systems · 2025Article
- Systems analysis unravels a common rural-urban gradient in immunological profile, function, and metabolic dependencies.Science advances · 2025Article
- The application of machine learning in clinical microbiology and infectious diseases.Frontiers in cellular and infection microbiology · 2025Review
- Supervised analysis of alternative polyadenylation from single-cell and spatial transcriptomics data with spvAPA.Briefings in bioinformatics · 2024Article
- Multi-omic profiling reveals the endogenous and neoplastic responses to immunotherapies in cutaneous T cell lymphoma.Cell reports. Medicine · 2024Article
- Improving reduced-order models through nonlinear decoding of projection-dependent outputs.Patterns (New York, N.Y.) · 2023Article
- Unravelling human hematopoietic progenitor cell diversity through association with intrinsic regulatory factors.bioRxiv : the preprint server for biology · 2023Article
- High-dimensional profiling of pediatric immune responses to solid organ transplantation.Cell reports. Medicine · 2023Article
- Prior anti-CTLA-4 therapy impacts molecular characteristics associated with anti-PD-1 response in advanced melanoma.Cancer cell · 2023Article
- Magnitude and kinetics of the human immune cell response associated with severe dengue progression by single-cell proteomics.Science advances · 2023Article
- Data science through the lens of systems immunology.Patterns (New York, N.Y.) · 2022Article
- A supervised take on dimensionality reduction via hybrid subset selection.Patterns (New York, N.Y.) · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Single-cell technologies generate large, high-dimensional datasets encompassing a diversity of omics. Dimensionality reduction captures the structure and heterogeneity of the original dataset, creating low-dimensional visualizations that contribute to the human understanding of data. Existing algorithms are typically unsupervised, using measured features to generate manifolds, disregarding known biological labels such as cell type or experimental time point. We repurpose the classification algorithm, linear discriminant analysis (LDA), for supervised dimensionality reduction of single-cell data. LDA identifies linear combinations of predictors that optimally separate
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Registered trials
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.