Prediction of inherited metabolic disorders using tandem mass spectrometry data with the help of artificial neural networks

The results showed that the proposed artificial neural networks are capable of predicting inborn errors of metabolism very accurately. Therefore, developing new technologies to identify and predict inborn errors of metabolism will be very useful.

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Publication Details

Journal
TURKISH JOURNAL OF MEDICAL SCIENCES
Published
2024-08-23
DOI
https://doi.org/10.55730/1300-0144.5840
Citations
1
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.23
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article

Prediction of inherited metabolic disorders using tandem mass spectrometry data with the help of artificial neural networks

PEMBE SOYLU ÜSTKOYUNCIU, NURETTİN ÜSTKOYUNCU
1 citations
TURKISH JOURNAL OF MEDICAL SCIENCES
Metabolomics and Mass Spectrometry Studies
0.23
article

Prediction of inherited metabolic disorders using tandem mass spectrometry data with the help of artificial neural networks

PEMBE SOYLU ÜSTKOYUNCIU, NURETTİN ÜSTKOYUNCU
article en
1 citations

Abstract

The results showed that the proposed artificial neural networks are capable of predicting inborn errors of metabolism very accurately. Therefore, developing new technologies to identify and predict inborn errors of metabolism will be very useful.

TURKISH JOURNAL OF MEDICAL SCIENCESVol. 54(4)
Erciyes University (TR)
Openalex Percentile: Top 43%
Metabolomics and Mass Spectrometry Studies
0.23
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Prediction of inherited metabolic disorders using tandem mass spectrometry data with the help of artificial neural networks — PEMBE SOYLU ÜSTKOYUNCIU, NURETTİN ÜSTKOYUNCU · TURKISH JOURNAL OF MEDICAL SCIENCES (2024) | TGRS Research Map | TGRS