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Pattern Recognition for Normalized LC-MS Data
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12 Jan 2009 | Tools | Contributor(s): Ann Christine Catlin, George Howlett
This tool provides principal component analysis (PCA), linear discriminate analysis (LDA), and canonical discriminate analysis (CDA) for data clustering on aligned, normalized LC-MS datasets.
Peak Alignment of LC-MS Data
15 Sep 2008 | Tools | Contributor(s): Ann Christine Catlin, George Howlett
Peak alignment addresses retention time shift by recongnizing and aligning significant peaks; it then uses discrete deconvolutio to align overlapped peaks.
Significance Testing of Normalized LC-MS Data
12 Jan 2009 | Tools | Contributor(s): Ann Christine Catlin
Several statistical significance tests are employed to identify peptide or metabolite peaks that either make significant contributions to the molecular profile of a sample or distinguish a group of …
The Purdue Proteome Discovery Pipeline
11 Jun 2009 | Series | Contributor(s): Ann Christine Catlin, George Howlett
Proteomics approaches enable interrogation of large numbers of molecules to provide a more comprehensive understanding of biological systems. High throughput proteomics utilizes liquid chromatography …
Global Proteomics Analysis Laboratory
07 Feb 2009 | Series | Contributor(s): Ann Christine Catlin
The proteomic and metabolomic laboratory at Purdue University's Bindley Bioscience Center performs global proteomics analysis for the CCE project. The facility uses proteomic and metabolomic tools to …
Spectrum Deconvolution of LC-MS Data
05 Sep 2008 | Tools | Contributor(s): Ann Christine Catlin, George Howlett
Spectral deconvolution differentiates analyte signals from contaminants or instrumental noise, and reduces data dimensionality to benefit downstream statistical analysis.
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