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Umetrics simcap 12
Simcap 12, supplied by Umetrics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/simca+p++version+12+statistical+software+packages/0+12+simcap/pm27374292-54-29-30
Average 86 stars, based on 1 article reviews
simcap 12 - by Bioz Stars, 2026-11
86/100 stars

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Article Title: Metabolomics reveals an essential role for peroxisome proliferator-activated receptor α in bile acid homeostasis
Article Snippet: After the generation of a multivariated data matrix, this data set was exported into SIMCAP+12.0 (Umetrics, Kinnelon, NJ) for principal component analysis (PCA).

Mass Spectrometry:

Article Title: Gender- and Age-Associated Differences in Serum Metabolite Profiles among Japanese Populations.
Article Snippet: .. Principal Component Analysis (PCA) Metabolite data, following run-day normalization which minimize the effect of day-to-day variation of mass spectrometry on metabolite levels, and minimum value imputation, were loaded into SIMCAP+12 (Umetrics, Umea, Sweden), parate-scaled, and analyzed using PCA-X to visualize the variance among the groups evaluated in this study. ..

High Content Screening:

Article Title: Characterization and decoding of volatile organic compounds in Moso bamboo shoots (Phyllostachys edulis L.) at different growth stages: A combined analysis by HS-GC-IMS, HS-SPME-GC-MS, E-nose, and molecular docking.
Article Snippet: Moso bamboo (Phyllostachys edulis L.) shoots (MOBSs) are a highly valued food resource known for their distinctive flavor and nutritional benefits.. However, their rapid growth leads to significant variations in quality across developmental stages.. This study presents a novel multi-platform approach combining headspace-gas chromatography–ion mobility spectrometry (HS-GC-IMS), headspace solid-phase microextraction–gas chromatography–mass spectrometry (HS-SPME-GC-MS), electronic nose (E-nose), and molecular docking to comprehensively characterize the dynamic changes in volatile organic compounds (VOCs) of MOBS at three growth stages (low, medium, and high).



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