Work

Metabolomics Data Analysis to Discover Chronic Granulomatous Disease-Associated Biomarkers Utilizing G-S-M Machine Learning Model via Grouping Metabolites According to Ion Type

Year: 2024

Type: conference-paper

Source: Innovations in Intelligent Systems and Applications Conference (ASYU)

DOI: 10.1109/asyu62119.2024.10757030

Authors: Nur Sebnem Ersoz, Burcu Bakir–Gungor, Malik Yousef

Institutions: Abdullah Gül University, Zefat Academic College

Language: English

Topic: Metabolomics and Mass Spectrometry Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4406267846

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