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Corneal infection is one of the very poorly understood disease in terms of pathogenesis and host immune response. The advancement in molecular methods enables us to study global gene expression… Click to show full abstract
Corneal infection is one of the very poorly understood disease in terms of pathogenesis and host immune response. The advancement in molecular methods enables us to study global gene expression patterns using microarray or next‐generation sequencing technologies. These methods provide us with a huge volume of data and come up with the major challenges in critically analyzing the data to find the right significant genes. In this article, the author has analyzed already published microarray data of 30 samples from Gene Expression Omnibus (GEO) database and proposed two potential candidate genes, which can be explored as biomarkers to distinguish the bacterial or fungal keratitis.
Journal Title: Indian Journal of Ophthalmology
Year Published: 2020
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