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1 Ergebnisse
1
Integration of Non-targeted Proteomics Mass Spectrometry wi..:
Keyuan Pu (14165603)
;
Jiamin Qiu (386556)
;
Yongqi Tong (14312902)
...
https://figshare.com/articles/journal_contribution/Integration_of_Non-targeted_Proteomics_Mass_Spectrometry_with_Machine_Learning_for_Screening_Cooked_Beef_Adulterated_Samples/21799489. , 2022
Link:
https://doi.org/10.1021/acs.jafc.2c06266.s001
RT Journal T1
Integration of Non-targeted Proteomics Mass Spectrometry with Machine Learning for Screening Cooked Beef Adulterated Samples
UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21799489&Exemplar=1&LAN=DE A1 Keyuan Pu (14165603) A1 Jiamin Qiu (386556) A1 Yongqi Tong (14312902) A1 Bolin Liu (59887) A1 Zibin Cheng (14312905) A1 Siyu Chen (278663) A1 Wen-Xiu Ni (1781374) A1 Yan Lin (285018) A1 Kwan-Ming Ng (1508917) YR 2022 K1 Biochemistry K1 Microbiology K1 Genetics K1 Biotechnology K1 Ecology K1 Plant Biology K1 Virology K1 Biological Sciences not elsewhere classified K1 Mathematical Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 tof ms ) K1 stable characteristic proteins K1 squares discriminant analysis K1 flight mass spectrometry K1 extreme gradient boosting K1 assisted laser desorption K1 8 % K1 respectively K1 pork – beef K1 duck – beef K1 chicken – beef K1 beef authentication K1 raw beef K1 qualitative classification K1 protein profiles K1 processed samples K1 processed meats K1 practical aspect K1 partial least K1 mean accuracy K1 machine learning K1 ionization time K1 blind test K1 authentication challenging K1 adulteration ratio K1 4 % JF https://figshare.com/articles/journal_contribution/Integration_of_Non-targeted_Proteomics_Mass_Spectrometry_with_Machine_Learning_for_Screening_Cooked_Beef_Adulterated_Samples/21799489 LK http://dx.doi.org/https://doi.org/10.1021/acs.jafc.2c06266.s001 DO https://doi.org/10.1021/acs.jafc.2c06266.s001 SF ELIB - SuUB Bremen
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