Background: Microarray technology has revolutionized the way genomic analysis has been performed. High-throughput data acquisition, brought up a challenge in data comprehension i.e. in gene expression.
Methods: k-means cluster obtained after analysis of miRNA expression data have been sorted by an algorithmic procedure. Results: The proposed method managed to sort k-means centroids and manifest a more simple way of drawing conclusions on studied tumor samples. miRNAs were unraveled that changed in expression levels with respect to tumor aggressiveness. Conclusions: In the present work we presented a new and simple approach in data analysis using a new analysis approach, which we termed sorted-k-means analysis.
Keywords—k-means, microarrays, sorted k-means, gene expression, miRNA, tumors.
AD Publications is a rapidly growing academic publisher in the fields of Engineering, Medical-Health, Environmental Science and Agriculture Research. AD Publications is a registered organization broad-based open access and publishes most exciting researches with respect to the subjects of our journals. The Journals is being indexed and abstracted by all major global current awareness and alerting services.
The organization aims at undertaking, co- coordinating and promoting research and development. It provides professional and academic guidance in the field of basic education, Higher Education as well in the Technical Education. Our Aims is to Promote and support, High Quality basic, Scientific Research and development in fields of Engineering, Medical-Health, Environmental Science and Agriculture Research and to Generate Public awareness, provide advice to scholar’s researchers and communicate research outcomes.