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10.1007/978-1-4939-7027-8_15 http://scihub22266oqcxt.onion/10.1007/978-1-4939-7027-8_15 C5699888!5699888!28849569     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Methods+Mol+Biol 2017 ; 1613 (ä): 371-402 Nephropedia Template TP {{tp|p=28849569|t=2017. Comprehensive analyses of tissue-specific networks with implications to psychiatric diseases |pdf=|usr=}}{{28849569}} gab.com Text Comprehensive analyses of tissue-specific networks with implications to psychiatric diseases JO: Methods Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=28849569 #FOAvip Recent advances in genome sequencing and ?omics? technologies are opening new opportunities for improving diagnosis and treatment of human diseases. The precision medicine initiative in particular aims at developing individualized treatment options that take into account individual variability in genes and environment of each person. Systems biology approaches that group genes, transcripts and proteins into functionally meaningful networks will play crucial role in the future of personalized medicine. They will allow comparison of healthy and disease-affected tissues and organs from the same individual, as well as between healthy and disease-afflicted individuals. However, the field faces a multitude of challenges ranging from data integration to statistical and combinatorial issues in data analyses. This chapter describes computational approaches developed by us and the others to tackle challenges in tissue-specific network analyses, with the main focus on psychiatric diseases. Twit Text FOAVip Comprehensive analyses of tissue-specific networks with implications to psychiatric diseases ????Methods Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=28849569 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28849569 #FOAvip English Wikipedia <ref>{{Cite pmid|28849569}}</ref> Comprehensive analyses of tissue-specific networks with implications to psychiatric diseases #MMPMID28849569 Lin GN; Corominas R; Nam HJ; Urresti J; Iakoucheva LM Methods Mol Biol 2017[]; 1613 (ä): 371-402 PMID28849569show ga Recent advances in genome sequencing and ?omics? technologies are opening new opportunities for improving diagnosis and treatment of human diseases. The precision medicine initiative in particular aims at developing individualized treatment options that take into account individual variability in genes and environment of each person. Systems biology approaches that group genes, transcripts and proteins into functionally meaningful networks will play crucial role in the future of personalized medicine. They will allow comparison of healthy and disease-affected tissues and organs from the same individual, as well as between healthy and disease-afflicted individuals. However, the field faces a multitude of challenges ranging from data integration to statistical and combinatorial issues in data analyses. This chapter describes computational approaches developed by us and the others to tackle challenges in tissue-specific network analyses, with the main focus on psychiatric diseases. äComprehensive analyses of tissue-specific networks with implications t(epmc).pdf DeepDyve Pubget Overpricing