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Comparative Assessment of Projection and Clustering Method Combinations in the Analysis of Biomedical Data

https://doi.org/10.2139/ssrn.4819215

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Partitioning Around Medoids (Program PAM)

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High Glucosylceramides and Low Anandamide Contribute to Sensory Loss and Pain in Parkinson's Disease

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Modern Applied Statistics with S

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ggplot2: Elegant Graphics for Data Analysis

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Random Decision Forests

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The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. II

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LPA signaling is required for dopaminergic neuron development and is reduced through low expression of the LPA1 receptor in a 6-OHDA lesion model of Parkinson’s disease

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Sphingosine Kinase 1 and Sphingosine-1-Phosphate in Oxidative Stress Evoked by 1-Methyl-4-Phenylpyridinium (MPP+) in Human Dopaminergic Neuronal Cells

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Flow cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods

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Machine-learned cluster identification in high-dimensional data

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Associations between plasma ceramides and cognitive and neuropsychiatric manifestations in Parkinson's disease dementia

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Increased plasma levels of phospholipid in Parkinson’s disease with mild cognitive impairment

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Fundamental clustering algorithms suite

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Independent component analysis: algorithms and applications

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Tandem Mass Spectrometry Multiplex Analysis of Glucosylceramide and Galactosylceramide Isoforms in Brain Tissues at Different Stages of Parkinson Disease

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Random Forests

inferredcites →https://doi.org/10.1037/h0070888openalex-extracted

Analysis of a complex of statistical variables into principal components.

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Analysis of a complex of statistical variables into principal components.

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Molecular portraits of human breast tumours

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Sex differences in pain and pain inhibition: multiple explanations of a controversial phenomenon

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Mitochondrial Free Radical Signal in Ceramide‐Dependent Apoptosis: A Putative Mechanism for Neuronal Death in Parkinson's Disease

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Generic language in scientific communication

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Hierarchical Grouping to Optimize an Objective Function

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Objective Criteria for the Evaluation of Clustering Methods

inferredcites →https://doi.org/10.1080/01969727408546059openalex-extracted

Well-Separated Clusters and Optimal Fuzzy Partitions

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R: A Language for Data Analysis and Graphics

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LIII. On lines and planes of closest fit to systems of points in space

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Pooled variable scaling for cluster analysis

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Complex heatmaps reveal patterns and correlations in multidimensional genomic data

inferredcites →https://doi.org/10.1109/icdar.1995.598994openalex-extracted

Random decision forests

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Bioactive lipids and their metabolism: New therapeutic opportunities for Parkinson's disease

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The Matthew Effect in Science

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Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring

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A Global Geometric Framework for Nonlinear Dimensionality Reduction

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Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans)

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Identification of disease-distinct complex biomarker patterns by means of unsupervised machine-learning using an interactive R toolbox (Umatrix)

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Effect Sizes in Experimental Pain Produced by Gender, Genetic Variants and Sensitization Procedures

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Plasma Ceramide and Glucosylceramide Metabolism Is Altered in Sporadic Parkinson's Disease and Associated with Cognitive Impairment: A Pilot Study

inferredcites →https://doi.org/10.1371/journal.pone.0255838openalex-extracted

Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling)

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An Introduction to the Bootstrap

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easyPubMed: Search and Retrieve Scientific Publication Records from PubMed

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fastICA: FastICA Algorithms to Perform ICA and Projection Pursuit

inferredcites →https://doi.org/10.32614/cran.package.ggforceopenalex-extracted

ggforce: Accelerating 'ggplot2'

inferredcites →https://doi.org/10.32614/cran.package.ggthemesopenalex-extracted

ggthemes: Extra Themes, Scales and Geoms for 'ggplot2'

inferredcites →https://doi.org/10.32614/cran.package.rtsneopenalex-extracted

Rtsne: T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation

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R: A Language and Environment for Statistical Computing

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Multi-Target Protective Effects of Gintonin in 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine-Mediated Model of Parkinson’s Disease via Lysophosphatidic Acid Receptors

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Ongoing Research on the Role of Gintonin in the Management of Neurodegenerative Disorders

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The Fundamental Clustering and Projection Suite (FCPS): A Dataset Collection to Test the Performance of Clustering and Data Projection Algorithms

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Current Projection Methods-Induced Biases at Subgroup Detection for Machine-Learning Based Data-Analysis of Biomedical Data

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