Results 91 to 100 of about 705 (114)

Interpretable side-aware kinematic-sEMG gait-state representations relevant to adaptive neurorobotic assistance after stroke: a public-dataset study. [PDF]

Front Neurorobot
Calabrò RS, Calderone A, Baricich A, Santamato A, Arcadi FA, De Nunzio AM, Quartarone A.   +6 more
europepmc   +1 more source

Unscaled Indices for Assessing Agreement of Functional Data. [PDF]

Biom J
Choi K, Jang JH.
europepmc   +1 more source

Forecasting the impact of Kazakhstan population growth on healthcare doctors demand. [PDF]

BMC Health Serv Res
Koichubekov B, Begaidarova R, Omarbekova N, Mukhanova M, Abdikadirova K, Kharin A, Omarkulov B.   +6 more
europepmc   +1 more source

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DE-FPCA: Testing Gene Differential Expression and Exon Usage Through Functional Principal Component Analysis

2014
RNA-seq, next-generation sequencing (NGS) applied to RNA, is rapidly becoming the platform of choice for gene expression profiling. Existing methods, mostly parametric, describe the expression level of a gene or transcript by a single number that summarizes all reads mapped to that gene or transcript.
Hao Xiong, James Bentley Brown, Nathan Boley, Peter J. Bickel, Haiyan Huang   +4 more
openaire   +3 more sources

TI-FPCA: Effective and Interpretable Dimensionality Reduction with Transform-Invariant Functional Principal Component Analysis

Communications in Computer and Information Science
openaire   +3 more sources

Assessing prescription drug abuse using functional principal component analysis (FPCA) of wastewater data

Pharmacoepidemiology and Drug Safety, 2016
AbstractBackgroundWastewater‐based epidemiology is an alternative method for estimating the collective drug use in a community. We applied functional data analysis, a statistical framework developed for analysing curve data, to investigate weekly temporal patterns in wastewater measurements of three prescription drugs with known abuse potential ...
Stefania, Salvatore, Jo, Røislien, Jose A, Baz-Lomba, Jørgen G, Bramness   +3 more
openaire   +2 more sources

Robust functional principal components for sparse longitudinal data

Metron, 2021
Graciela Boente, Matias Salibian-Barrera, Boente Graciela   +2 more
exaly  

A time-varying distance based interval-valued functional principal component analysis method – A case study of consumer price index

Information Sciences, 2022
Tomáš Baležentis, Chonghui `Zhang
exaly  

Prediction of Lithium-Ion Battery Capacity by Functional Principal Component Analysis of Monitoring Data

Applied Sciences (Switzerland), 2022
Kangwon Seo
exaly