ArticleNature methods2015
Inferring biological tasks using Pareto analysis of high-dimensional data.
Article in Nature methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.
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Who cites it
107 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Geometry of Gene Expression Space of Wilms' Tumors From Human Patients.Neoplasia (New York, N.Y.) · 2018Pooled it
- IECP: iterative equilibration of cell-type expression profiles improves accuracy of reference-free deconvolution.Bioinformatics (Oxford, England) · 2026Article
- ParTIpy: a scalable framework for archetypal analysis and Pareto task inference.Molecular systems biology · 2026Article
- The exact mathematical form of the Pareto principle.Theory in biosciences = Theorie in den Biowissenschaften · 2026Article
- Recurrent intra-tumour heterogeneity is a hallmark of metastatic prostate cancer.Nature communications · 2026Article
- Geospatial genetic evolution and phenotypic plasticity in triple-negative breast cancer.Genome medicine · 2026Article
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- Comparative transcriptomics reveals differences in cortical cell type organization between metatherian and eutherian mammals.PNAS nexus · 2026Article
- Pareto optimality reveals an atlas of cellular archetypes.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- From Plato to Pareto: Defining the shape of infection's disease space.Science advances · 2026Article
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- Non-negative matrix factorization and deconvolution as a dual simplex problem.Genome biology · 2026Article
- ArchetypeShift: An R Package Integrating KEGG-Informed Pathway Analysis and IPA-Derived Functional Predictions for Validation of Single-Cell Archetypes.Bioinformatics and biology insights · 2026Article
- The adaptive tasks and trade-offs that drive the human value system.Communications psychology · 2025Article
- Multi-cellular phenotypic dynamics during the progression of an immunocompetent breast cancer model.iScience · 2025Article
- AAnet Resolves a Continuum of Spatially Localized Cell States to Unveil Intratumoral Heterogeneity.Cancer discovery · 2025Article
- Comparative transcriptomics reveals shifts in cortical architecture at the metatherian/eutherian transition.bioRxiv : the preprint server for biology · 2025Article
- Chronic pain is linked to a resting-state neural archetype that optimizes learning from punishments.bioRxiv : the preprint server for biology · 2025Article
- Intercellular signaling reinforces single-cell level phenotypic transitions and facilitates robust re-equilibrium of heterogeneous cancer cell populations.Cell communication and signaling : CCS · 2025Article
47 more citing papers are in PubMed but not listed here.
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9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present the Pareto task inference method (ParTI; http://www.weizmann.ac.il/mcb/UriAlon/download/ParTI) for inferring biological tasks from high-dimensional biological data. Data are described as a polytope, and features maximally enriched closest to the vertices (or archetypes) allow identification of the tasks the vertices represent. We demonstrate that human breast tumors and mouse tissues are well described by tetrahedrons in gene expression space, with specific tumor types and biological functions enriched at each of the vertices, suggesting four key tasks.
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