Topic | Discriminative Analysis for Spectroscopic Profiling Data |
Modality | Raman Spectrum (E0065.A0007.V0001) |
Object | Unsynchronized from the instrument. |
Category | ["C1","C2","C3"] |
TrainingSet | Sample Size:46 |
Key Features | 5, 215, 218, 219, 233, 235, 236, 243, 280, 281, 309, 362, 363, 364, 376, 384, 765, 1601 |
Classifier | SVC(C=0.01, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape='ovr', degree=3, gamma='auto_deprecated', kernel='linear', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False) |
Metric | |
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Operating System | Windows Server 2012 DataCenter 64bit, IIS 7, Microsoft .NET Framework 4.7 |
Database | SQL Server 2012, SQLite 3.0 |
Web Server | ASP.Net MVC 4 |
Web Client | HTML5, CSS 3, Bootstrap 4, jQuery, etc. |
Programming Language | C#, Javascript, Razor, Python |
Data Analysis Platform | Python 3.6, sklearn 0.20, Jupyter Notebook 5.7.0 |
Code Line Count (CLC) | 151,306 |
Data Volume | 100GB+ |
Modality | Raman, MALDI TOF MS, Ion Mobility Spectrometry, Single-Photon Ionization TOF, Ultraviolet and visible spectrum, High Performance Liquid Chromatography |
Test Subject | Dairy, Liquor, Herbs |
Data Total | 5088 |
Text Corpus Total (NLP) | 18719 |
Algorithm Total | 28 |
Terminology / CV | AgrO (3706), CAS (56341), CDISC (17119), CDNO (1080), CHEBI (55080), EO (562), FOODON (20910), GI (1381), GTIN (1615726), HUGO-PSI MS (2935), KEGG MEDICUS DGROUP (2119), KEGG MEDICUS DISEASE (2206), KEGG MEDICUS DRUG (10564), PO (1734), SPACS (90), Uberon (20350), |
Project Initiate Date | September, 2017 |
Iteration | Iteration 5 (Milestone: Spectroscopic Profiling Data Analysis and Reporting) |