About: Essential dynamics

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Principal Component Analysis (PCA) is a multivariate statistical analysis to obtain collective variables and reduce the dimensionality of the system.

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type	Class
label	Essential dynamics
comment	Principal Component Analysis (PCA) is a multivariate statistical analysis to obtain collective variables and reduce the dimensionality of the system.
subClassOf	Simulation analysis Nucleic acid structure analysis
topic	DeprecatedClass Title Creator Format page LAV Isolation source Contributor Gene expression profiling DNA barcoding Multilocus sequence typing Functional genomics Gene structure Eukaryotes Biodiversity Software engineering Medical imaging Endocrinology and metabolism Fingerprint Secondary structure Date RNA sequence PCR primer design Structure analysis Protein analysis Sequence classification Data deposition Sequence classification DNA mutation Data acquisition Biomedical science Complementary medicine Protein signature Nucleic acid sequences Gene map Sequence coordinates Modelling and simulation Mathematical modelling Database management Exome sequencing Email address PDF RNA structure prediction Nucleic acid structure prediction Synonym Gene order MAT Gene transcription 2 or more pgm Helical wheel Binding site prediction Protein property Peptide identification Peptide identification Protein properties Structural profile Sequence profile Sequence motif discovery Sequence search has_subset qual Sequence checksum Phylogenetic continuous quantitative data Backbone modelling Generation Data Tool Database Phylogenetic tree Structure Keyword Citation Article Sequence features Map Coding region Alignment Sequence Report Matrix Type Pathway or network Codon usage bias Codon usage Workflow Taxonomy Experimental measurement Phenotype name Spectrum Pathogenicity report Cultivation parameter Electronic health record Simulation nucleotide

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