Identification of biomarkers for diseases using microarray datasets from GEO through machine learning algorithms
The advancements in the field of machine learning can be used to create sustainable and efficient ways to diagnose and predict the diease using biomarkers. The identification of biomarkers can be fasten using varioud machine learning algorithms like random forest, naive bayes. the use of these algorithms on available microarray datasets of various patients can be used to identify biomarkers for various diseases, which is a step in the field of diagnosis of any diseases.
Biotechnology And National Health
Technologies for human health
Less than a week
Lovely Professional University, Jalandhar
The biomarkers can be used to detect and predict various diseases in recent time. The identification of biomarkers using wet lab experiments can take longer time than the in silico way. The use of machine learning can speed up the process of detecting biomarkers for various diseases using various kinds of datasets based on region, ethnicity and so on in less time.
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