کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6902240 | 1446500 | 2017 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analyzing Prognosis Characteristics of Hepatitis C using a Biclustering Based Approach
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
DNA microarray technology has led to huge advancement in the diagnosis process of diseases. In this paper, we have developed a framework to analyze gene expression data of three different Hepatitis C related prognosis datasets. First, we have discovered differentially expressed genes for each pair of prognosis datasets. Principal Component Analysis has been carried out for reduction of samples size and computational convenience. The difference in local expression patterns between each pair of prognosis is identified through similarity scores among biclusters. A gene ontology and pathway based analysis has been performed for understanding biological significance of the identified biclusters.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 115, 2017, Pages 282-289
Journal: Procedia Computer Science - Volume 115, 2017, Pages 282-289
نویسندگان
Sk Md Mosaddek Hossain, Sumanta Ray, Tabassum Sultana Tannee, Anirban Mukhopadhyay,