Results 161 to 170 of about 90,676 (185)

A combination of automatic untargeted metabolic profiling analysis with targeted metabolomics to enhance geographical discrimination of <i>Goji</i> berry. [PDF]

Food Chem X
Wang LH, Wen YJ, Wang WX, Zhai M, Li SF, Zheng QX, Liu PP, Zhang Y, Lv Y, Zhou HN, Yu YJ.   +10 more
europepmc   +1 more source

Investigate the effects of donor breast milk and formula milk on metabolites in preterm infants through non-targeted metabolomics. [PDF]

BMC Nutr
Yang F, Zhao Y, Zhang Y, Zhang C.
europepmc   +1 more source

Widely targeted metabolomics and machine learning identify succinate as a key metabolite in sepsis-associated encephalopathy. [PDF]

iScience
Hu H, Feng Y, Zhou Y, Peng S, Li D, Wu S, Jiang H, Lu Y, Chen J, Song Y, Zhu W.   +10 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Targeted Metabolomic Biomarkers for Stroke Subtyping

Translational Stroke Research, 2023
Ischemic stroke is a heterogeneous disease with various etiologies. The current subtyping process is complicated, time-consuming, and costly. Metabolite-based biomarkers have the potential to improve classification and deliver optimal treatments. We here aimed to identify novel, targeted metabolomics-based biomarkers to discriminate between large ...
Eung-Joon, Lee, Da Jung, Kim, Dong-Wan, Kang, Wookjin, Yang, Han-Yeong, Jeong, Jeong-Min, Kim, Sang-Bae, Ko, Seung-Hoon, Lee, Byung-Woo, Yoon, Joo-Youn, Cho, Keun-Hwa, Jung   +10 more
openaire   +2 more sources

Targeted metabolomics and mass spectrometry

2010
While a great emphasis has been placed on global metabolomic analysis in recent years, the application of metabolomic style analyses to specific subsets of compounds (targeted metabolomics) also has merits in addressing biological questions in a more hypothesis-driven manner.
E, Dudley, M, Yousef, Y, Wang, W J, Griffiths   +3 more
openaire   +6 more sources

Pathway Analysis for Targeted and Untargeted Metabolomics

2020
Recent advances in analytical techniques, particularly LC-MS, generate increasingly large and complex metabolomics datasets. Pathway analysis tools help place the experimental observations into relevant biological or disease context. This chapter provides an overview of the general concepts and common tools for pathway analysis, including Mummichog for
Alla, Karnovsky, Shuzhao, Li
openaire   +2 more sources