ArticlePatterns (New York, N.Y.)2022
DADApy: Distance-based analysis of data-manifolds in Python.
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 15 papers.
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Who cites it
15 citing papers in PubMed.
- Scale adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification.Scientific reports · 2026Article
- MDIntrinsicDimension: Dimensionality-Based Analysis of Collective Motions in Macromolecules from Molecular Dynamics Trajectories.Journal of chemical information and modeling · 2026Article
- Article
- Sampling High-Dimensional Conformational Free Energy Landscapes of Active Pharmaceutical Ingredients.Journal of chemical theory and computation · 2025Article
- Uncertainty in the era of machine learning for atomistic modeling.Digital discovery · 2025Review
- Synchrony, oscillations, and phase relationships in collective neuronal activity: A highly comparative overview of methods.PLoS computational biology · 2025Article
- The intrinsic dimension of gene expression during cell differentiation.Nucleic acids research · 2025Article
- Integrative Computational Analysis of Common EXO5 Haplotypes: Impact on Protein Dynamics, Genome Stability, and Cancer Progression.Journal of chemical information and modeling · 2025Article
- Automatic feature selection and weighting in molecular systems using Differentiable Information Imbalance.Nature communications · 2025Article
- Intrinsic dimension as a multi-scale summary statistics in network modeling.Scientific reports · 2024Article
- Robust inference of causality in high-dimensional dynamical processes from the Information Imbalance of distance ranks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Spectral operator representations.npj computational materials · 2024Article
- Improving reduced-order models through nonlinear decoding of projection-dependent outputs.Patterns (New York, N.Y.) · 2023Article
- The generalized ratios intrinsic dimension estimator.Scientific reports · 2022Article
- Ranking the information content of distance measures.PNAS nexus · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
DADApy is a Python software package for analyzing and characterizing high-dimensional data manifolds. It provides methods for estimating the intrinsic dimension and the probability density, for performing density-based clustering, and for comparing different distance metrics. We review the main functionalities of the package and exemplify its usage in a synthetic dataset and in a real-world application. DADApy is freely available under the open-source Apache 2.0 license.
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