Abstract: This paper presents a literature review on the Biomarker discovery. The advent of omics technologies like genomics, proteomics, transcriptomics, and metabolomics helped the researchers to discover novel biomarkers that can be used to diagnose, predict, and monitor the progress of disease. A number of computational approaches like machine learning and deep learning have been developed to identify biomarkers by using omics data. The integration of different omics known as multi omics has also been used by researchers for biomarker discovery. This paper presents a comprehensive survey of the recent progress in the identification of biomarkers.
Keywords: Biomarkers, Multi omics data, Machine learning, Deep learning.
Works Cited:
Manila M V " A Literature review on Biomarker discovery ", IJIREEICE International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 11, no. 10, pp. 1-3, 2023. Crossref https://doi.org/: 10.17148/IJIREEICE.2023.111001
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