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10.1016/j.gpb.2015.07.003 http://scihub22266oqcxt.onion/10.1016/j.gpb.2015.07.003 C4747664!4747664!26779818     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26779818&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genomics+Proteomics+Bioinformatics 2015 ; 13 (6): 377-82 Nephropedia Template TP {{tp|p=26779818|t=2015. Diversity of Gene Expression in Hepatocellular Carcinoma Cells |pdf=|usr=}}{{26779818}} gab.com Text Diversity of Gene Expression in Hepatocellular Carcinoma Cells JO: Genomics Proteomics Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26779818 #FOAvip Understanding tumor diversity has been a long-lasting and challenging question for researchers in the field of cancer heterogeneity or tumor evolution. Studies have reported that compared to normal cells, there is a higher genetic diversity in tumor cells, while higher genetic diversity is associated with higher progression risks of tumor. We thus hypothesized that tumor diversity also holds true at the gene expression level. To test this hypothesis, we used t-test to compare the means of Simpson?s diversity index for gene expression (SDIG) between tumor and non-tumor samples. We found that the mean SDIG in tumor tissues is significantly higher than that in the non-tumor or normal tissues (P < 0.05) for most datasets. We also combined microarrays and next-generation sequencing data for validation. This cross-platform and cross-experimental validation greatly increased the reliability of our results. Twit Text FOAVip Diversity of Gene Expression in Hepatocellular Carcinoma Cells ????Genomics Proteomics Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26779818 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26779818 #FOAvip English Wikipedia <ref>{{Cite pmid|26779818}}</ref> Diversity of Gene Expression in Hepatocellular Carcinoma Cells #MMPMID26779818 Zhang F; Cui L; Kuo MD Genomics Proteomics Bioinformatics 2015[Dec]; 13 (6): 377-82 PMID26779818show ga Understanding tumor diversity has been a long-lasting and challenging question for researchers in the field of cancer heterogeneity or tumor evolution. Studies have reported that compared to normal cells, there is a higher genetic diversity in tumor cells, while higher genetic diversity is associated with higher progression risks of tumor. We thus hypothesized that tumor diversity also holds true at the gene expression level. To test this hypothesis, we used t-test to compare the means of Simpson?s diversity index for gene expression (SDIG) between tumor and non-tumor samples. We found that the mean SDIG in tumor tissues is significantly higher than that in the non-tumor or normal tissues (P < 0.05) for most datasets. We also combined microarrays and next-generation sequencing data for validation. This cross-platform and cross-experimental validation greatly increased the reliability of our results. äDiversity of Gene Expression in Hepatocellular Carcinoma Cells (epmc).pdf DeepDyve Pubget Overpricing