|Micromolecules: definitions & links||Cellular domains: Genome, preoteome & metabolome|
|Metabolic diversity: Scale, dynamics, & phyletics||Phenotyping strategies: proteomics vs metabolomics|
|CMP Platforms: Platforms and workflow overview||CMP Probes: The probe library|
|CMP Substrates: Molecular trapping & detection||CMP Datasets: Data arrays for multichannel imaging|
|CMP Analysis: pattern recognition theory and tools||CMP Exploration: N-space visualization tools|
|CMP Annotation: browsing & annotating data|
|Univariate Proteomic vs Multivariate Metabolomic Phenotyping Strategies|
|Univariate Proteomic Profiling||Multivariate Metabolomic Profiling|
|Target: Proteins (metabolic, structural, etc)||Target: Micromolecules|
|Platform: IgGs and superposition optical detection||Platform: IgGs and surface optical detection|
|Methods: Univariate and qualitative||Methods: Multivariate and quantitative|
|Strengths of Proteomic Libraries||Defects of Metabolomic Libraries|
|Defects of Proteomic Libraries||Strengths of Metabolomic Libraries|
|There are two antipodal designs for classifying cells: Univariate and multivariate. The univariate design is the standard immunocytochemical approach and requires one proven probe for every suspected class (for retina this would require > 60 specific antibodies selected from thousands of candidates) and hundreds of samples to test them all. Of course the problem is to discover the classes, and the problem of gapping quickly becomes insurmountable. The problems of a univariate strategy are many: most essential probes do not exist; data fusion is impossible; no proof of completeness or correctness is possible, a priori.
CMP is the multivariate model (the correct one for a general classification task) in which a few probes targeting overlapping classes create an N-space matrix for a single sample. The strengths of CMP are: probes for concurrent use exist; data fusion methods are robust; and mathematic completeness is possible. One need not know how many classes exist, a priori, to discover them.