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10.1073/pnas.1415120112 http://scihub22266oqcxt.onion/10.1073/pnas.1415120112 C4280586!4280586!25489103     free     free     free 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 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 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       Proc+Natl+Acad+Sci+U+S+A 2014 ; 111 (51): 18249-54 Nephropedia Template TP {{tp|p=25489103|t=2014. Automated analysis of immunohistochemistry images identifies candidate location biomarkers for cancers |pdf=|usr=}}{{25489103}} gab.com Text Automated analysis of immunohistochemistry images identifies candidate location biomarkers for cancers JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=25489103 #FOAvip Changes in the expression of proteins are often associated with oncogenesis, and are frequently used as cancer biomarkers. Changes in the subcellular location of proteins have been less frequently investigated. In this paper, we describe a robust pipeline for identifying those proteins whose subcellular location undergoes statistically significant changes in cancers of four tissues, and also for identifying biochemical pathways that are enriched for proteins that translocate. Future investigation of these proteins and pathways may provide new insight into oncogenesis. Further, the analysis pipeline is expected to be useful for assessing disease type and severity in a clinical setting. Twit Text FOAVip Automated analysis of immunohistochemistry images identifies candidate location biomarkers for cancers ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=25489103 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25489103 #FOAvip English Wikipedia <ref>{{Cite pmid|25489103}}</ref> Automated analysis of immunohistochemistry images identifies candidate location biomarkers for cancers #MMPMID25489103 Kumar A; Rao A; Bhavani S; Newberg JY; Murphy RF Proc Natl Acad Sci U S A 2014[Dec]; 111 (51): 18249-54 PMID25489103show ga Changes in the expression of proteins are often associated with oncogenesis, and are frequently used as cancer biomarkers. Changes in the subcellular location of proteins have been less frequently investigated. In this paper, we describe a robust pipeline for identifying those proteins whose subcellular location undergoes statistically significant changes in cancers of four tissues, and also for identifying biochemical pathways that are enriched for proteins that translocate. Future investigation of these proteins and pathways may provide new insight into oncogenesis. Further, the analysis pipeline is expected to be useful for assessing disease type and severity in a clinical setting. äAutomated analysis of immunohistochemistry images identifies candidate(epmc).pdf DeepDyve Pubget Overpricing