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10.7554/eLife.58040 http://scihub22266oqcxt.onion/10.7554/eLife.58040 32463365!7371427!32463365     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Elife 2020 ; 9 (ä): ä Nephropedia Template TP {{tp|p=32463365|t=2020. Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors |pdf=|usr=}}{{32463365}} gab.com Text Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors JO: Elife http://www.kidney.de/pget.php?&tw=1&pmid=32463365 #FOAvip The COVID-19 pandemic demands assimilation of all biomedical knowledge to decode mechanisms of pathogenesis. Despite the recent renaissance in neural networks, a platform for the real-time synthesis of the exponentially growing biomedical literature and deep omics insights is unavailable. Here, we present the nferX platform for dynamic inference from over 45 quadrillion possible conceptual associations from unstructured text, and triangulation with insights from single-cell RNA-sequencing, bulk RNA-seq and proteomics from diverse tissue types. A hypothesis-free profiling of ACE2 suggests tongue keratinocytes, olfactory epithelial cells, airway club cells and respiratory ciliated cells as potential reservoirs of the SARS-CoV-2 receptor. We find the gut as the putative hotspot of COVID-19, where a maturation correlated transcriptional signature is shared in small intestine enterocytes among coronavirus receptors (ACE2, DPP4, ANPEP). A holistic data science platform triangulating insights from structured and unstructured data holds potential for accelerating the generation of impactful biological insights and hypotheses. Twit Text FOAVip Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors ????Elife http://www.kidney.de/pget.php?&tw=1&pmid=32463365 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32463365 #FOAvip English Wikipedia <ref>{{Cite pmid|32463365}}</ref> Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors #MMPMID32463365 Venkatakrishnan AJ; Puranik A; Anand A; Zemmour D; Yao X; Wu X; Chilaka R; Murakowski DK; Standish K; Raghunathan B; Wagner T; Garcia-Rivera E; Solomon H; Garg A; Barve R; Anyanwu-Ofili A; Khan N; Soundararajan V Elife 2020[May]; 9 (ä): ä PMID32463365show ga The COVID-19 pandemic demands assimilation of all biomedical knowledge to decode mechanisms of pathogenesis. Despite the recent renaissance in neural networks, a platform for the real-time synthesis of the exponentially growing biomedical literature and deep omics insights is unavailable. Here, we present the nferX platform for dynamic inference from over 45 quadrillion possible conceptual associations from unstructured text, and triangulation with insights from single-cell RNA-sequencing, bulk RNA-seq and proteomics from diverse tissue types. A hypothesis-free profiling of ACE2 suggests tongue keratinocytes, olfactory epithelial cells, airway club cells and respiratory ciliated cells as potential reservoirs of the SARS-CoV-2 receptor. We find the gut as the putative hotspot of COVID-19, where a maturation correlated transcriptional signature is shared in small intestine enterocytes among coronavirus receptors (ACE2, DPP4, ANPEP). A holistic data science platform triangulating insights from structured and unstructured data holds potential for accelerating the generation of impactful biological insights and hypotheses. |*Libraries, Medical[MESH] |Animals[MESH] |Betacoronavirus/genetics/metabolism[MESH] |COVID-19[MESH] |Coronavirus Infections/metabolism/pathology/*virology[MESH] |Gene Expression Profiling[MESH] |Humans[MESH] |Knowledge Discovery[MESH] |Mice[MESH] |Pandemics[MESH] |Pneumonia, Viral/metabolism/pathology/*virology[MESH] |Receptors, Coronavirus[MESH] |Receptors, Virus/chemistry/genetics/*metabolism[MESH]Knowledge synthesis of 100 million biomedical documents augments the d(epmc).pdf DeepDyve Pubget Overpricing