Results 1 to 10 of about 106,617 (171)
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 of “Cinderella” [PDF]
SHS Web of Conferences, 2021 Psychologists often use the name of the protagonist of the fairy tale “Cinderella”, which is famous thanks to the brothers Grimm and Charles Perrault, for a sacrificial girl prone to dissociation, illusions, and waiting for a prince.
Mirskaya Liudmila A. +1 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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Weighted and Robust Archetypal Analysis [PDF]
Computational Statistics & Data Analysis, 2010 Archetypal analysis represents observations in a multivariate data set as convex combinations of a few extremal points lying on the boundary of the convex hull.
Eugster, Manuel J. A., Leisch, Friedrich
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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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Temporal archetypal analysis for action segmentation [PDF]
2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017 Unsupervised learning of invariant representations that efficiently describe high-dimensional time series has several applications in dynamic visual data analysis.
Fotiadou, Eftychia +2 more
core +5 more sources