Archetypal Analysis for population genetics. [PDF]
PLoS Computational Biology, 2022 The estimation of genetic clusters using genomic data has application from genome-wide association studies (GWAS) to demographic history to polygenic risk scores (PRS) and is expected to play an important role in the analyses of increasingly diverse ...
Julia Gimbernat-Mayol +4 more
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Unravelling the instability of mutational signatures extraction via archetypal analysis [PDF]
Frontiers in Genetics, 2023 The high cosine similarity between some single-base substitution mutational signatures and their characteristic flat profiles could suggest the presence of overfitting and mathematical artefacts.
Corrado Pancotti +5 more
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Combining electro- and magnetoencephalography data using directional archetypal analysis [PDF]
Frontiers in Neuroscience, 2022 Metastable microstates in electro- and magnetoencephalographic (EEG and MEG) measurements are usually determined using modified k-means accounting for polarity invariant states.
Anders S. Olsen +6 more
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A configurational approach to leadership behavior through archetypal analysis [PDF]
Frontiers in Psychology, 2023 The behavioral approach to leadership, which has introduced leadership styles, has been of great importance to the leadership field. Despite its importance, scholars have recently argued and demonstrated that these styles have various conceptual ...
Janka I. Stoker +3 more
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Archetypal Analysis and DEA Model, Their Application on Financial Data and Visualization with PHATE [PDF]
Entropy, 2022 One of the goals of macroeconomic analysis is to rank and segment enterprises described by many financial indicators. The segmentation can be used for investment strategies or risk evaluation. The aim of this research was to distinguish groups of similar
Urszula Grzybowska, Marek Karwański
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Convex Representations Using Deep Archetypal Analysis for Predicting Glaucoma [PDF]
IEEE Journal of Translational Engineering in Health and Medicine, 2020 Goal: The purpose of this study was to identify clinically relevant patterns of glaucomatous vision loss through convex representation to predict glaucoma several years prior to disease onset.
Anshul Thakur +2 more
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Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders. [PDF]
PLoS Computational Biology, 2022 Advances in single-cell RNA sequencing (scRNA-seq) have led to successes in discovering novel cell types and understanding cellular heterogeneity among complex cell populations through cluster analysis.
Yuge Wang, Hongyu Zhao
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Archetypal analysis of COVID-19 in Montana, USA, March 13, 2020 to April 26, 2022. [PDF]
PLoS ONEInfectious disease data can often involve complex spatial patterns intermixed with temporal trends. Archetypal Analysis is a method to mine complex spatio-temporal data, and can be used to discover the dynamics of spatial patterns.
Emily Stone +2 more
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From Spider-Man to Hero — Archetypal Analysis in R [PDF]
Journal of Statistical Software, 2009 Archetypal analysis has the aim to represent observations in a multivariate data setas convex combinations of extremal points. This approach was introduced by Cutler andBreiman (1994); they dened the concrete problem, laid out the theoretical ...
Manuel J. A. Eugster, Friedrich Leisch
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Chrysalis: decoding tissue compartments in spatial transcriptomics with archetypal analysis [PDF]
Communications BiologyDissecting tissue compartments in spatial transcriptomics (ST) remains challenging due to limited spatial resolution and dependence on single-cell reference data.
Demeter Túrós +4 more
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