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Genetics and Genomics Commons

Open Access. Powered by Scholars. Published by Universities.®

Medical Specialties

City University of New York (CUNY)

2017

Articles 1 - 2 of 2

Full-Text Articles in Genetics and Genomics

The Ability Of Different Imputation Methods To Preserve The Significant Genes And Pathways In Cancer, Rosa Aghdam, Taban Baghfalaki, Pegah Khosravi, Elnaz Saberi Ansari Dec 2017

The Ability Of Different Imputation Methods To Preserve The Significant Genes And Pathways In Cancer, Rosa Aghdam, Taban Baghfalaki, Pegah Khosravi, Elnaz Saberi Ansari

Publications and Research

Deciphering important genes and pathways from incomplete gene expression data could facilitate a better understanding of cancer. Different imputation methods can be applied to estimate the missing values. In our study, we evaluated various imputation methods for their performance in preserving significant genes and pathways. In the first step, 5% genes are considered in random for two types of ignorable and non-ignorable missingness mechanisms with various missing rates. Next, 10 well-known imputation methods were applied to the complete datasets. The significance analysis of microarrays (SAM) method was applied to detect the significant genes in rectal and lung cancers to showcase …


Mirnas Associated With Prostate Cancer Risk And Progression, Hung N. Luu, Hui-Yi Lin, Karina Dalsgaard Sorensen, Olorunseun O. Ogunwobi, Nagi Kumar, Ganna Chornokur, Catherine Phelan, Dominique Jones, Lacreis Kidd, Jyotsna Batra, Kosj Yamoah, Anders Berglund, Robert J. Rounbehler, Mihi Yang, Sang Haak Lee, Nahyeon Kang, Seung Joon Kim, Jong Y. Park, Giuliano Di Pietro Mar 2017

Mirnas Associated With Prostate Cancer Risk And Progression, Hung N. Luu, Hui-Yi Lin, Karina Dalsgaard Sorensen, Olorunseun O. Ogunwobi, Nagi Kumar, Ganna Chornokur, Catherine Phelan, Dominique Jones, Lacreis Kidd, Jyotsna Batra, Kosj Yamoah, Anders Berglund, Robert J. Rounbehler, Mihi Yang, Sang Haak Lee, Nahyeon Kang, Seung Joon Kim, Jong Y. Park, Giuliano Di Pietro

Publications and Research

Prostate cancer is the most common malignancy among men in the US. Though considerable improvement in the diagnosis of prostate cancer has been achieved in the past decade, predicting disease outcome remains a major clinical challenge. Recent expression profiling studies in prostate cancer suggest microRNAs (miRNAs) may serve as potential biomarkers for prostate cancer risk and disease progression. miRNAs comprise a large family of about 22-nucleotide-long non-protein coding RNAs, regulate gene expression post-transcriptionally and participate in the regulation of numerous cellular processes. In this review, we discuss the current status of miRNA in studies evaluating the disease progression of prostate …