Search Results for "principle component analysis"

Raman Tool Set has been developed as a user-friendly free software for processing and analysis of Raman spectra and spectroscopy data. RamanToolSet offers the following functions for processing: - scaling spectra - offset spectra - cut spectra - averaging spectra - smoothing spectra - normalizing spectra - background subtraction - polynomial subtraction The following analytical tools have been implemented: - Principal Component Analysis (PCA) - Clustering analysis - Extended Multiplicative Signal Correction (EMSC) analysis The following mapping tools have been implemented: - Producing single spectra files from Renishaw, Witec and Horiba mapping files (.txt) - Mapping the single spectra so imported from Renishaw, Witec or Horiba files - PCA is performed over mapping spectra and PCA-Scores are mapped - ICA is performed over mapping spectra and ICA-coefficients are mapped - Clustering analysis is performed over mapping spectra and Clusters are mapped

PocketAnalyzerPCA combines a geometric algorithm for detecting pockets in proteins with Principal Component Analysis and clustering. This enables visualization and analysis of pocket conformational distributions of large sets of protein structures.