Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.patter.2020.100155 http://scihub22266oqcxt.onion/10.1016/j.patter.2020.100155 33196056!7649624!33196056     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Patterns+(N+Y) 2021 ; 2 (1): 100155 Nephropedia Template TP {{tp|p=33196056|t=2021. KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response |pdf=|usr=}}{{33196056}} gab.com Text KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response JO: Patterns (N Y) http://www.kidney.de/pget.php?&tw=1&pmid=33196056 #FOAvip Integrated, up-to-date data about SARS-CoV-2 and COVID-19 is crucial for the ongoing response to the COVID-19 pandemic by the biomedical research community. While rich biological knowledge exists for SARS-CoV-2 and related viruses (SARS-CoV, MERS-CoV), integrating this knowledge is difficult and time-consuming, since much of it is in siloed databases or in textual format. Furthermore, the data required by the research community vary drastically for different tasks; the optimal data for a machine learning task, for example, is much different from the data used to populate a browsable user interface for clinicians. To address these challenges, we created KG-COVID-19, a flexible framework that ingests and integrates heterogeneous biomedical data to produce knowledge graphs (KGs), and applied it to create a KG for COVID-19 response. This KG framework also can be applied to other problems in which siloed biomedical data must be quickly integrated for different research applications, including future pandemics. Twit Text FOAVip KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response ????Patterns (N Y) http://www.kidney.de/pget.php?&tw=1&pmid=33196056 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33196056 #FOAvip English Wikipedia <ref>{{Cite pmid|33196056}}</ref> KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response #MMPMID33196056 Reese JT; Unni D; Callahan TJ; Cappelletti L; Ravanmehr V; Carbon S; Shefchek KA; Good BM; Balhoff JP; Fontana T; Blau H; Matentzoglu N; Harris NL; Munoz-Torres MC; Haendel MA; Robinson PN; Joachimiak MP; Mungall CJ Patterns (N Y) 2021[Jan]; 2 (1): 100155 PMID33196056show ga Integrated, up-to-date data about SARS-CoV-2 and COVID-19 is crucial for the ongoing response to the COVID-19 pandemic by the biomedical research community. While rich biological knowledge exists for SARS-CoV-2 and related viruses (SARS-CoV, MERS-CoV), integrating this knowledge is difficult and time-consuming, since much of it is in siloed databases or in textual format. Furthermore, the data required by the research community vary drastically for different tasks; the optimal data for a machine learning task, for example, is much different from the data used to populate a browsable user interface for clinicians. To address these challenges, we created KG-COVID-19, a flexible framework that ingests and integrates heterogeneous biomedical data to produce knowledge graphs (KGs), and applied it to create a KG for COVID-19 response. This KG framework also can be applied to other problems in which siloed biomedical data must be quickly integrated for different research applications, including future pandemics. äKG-COVID-19: A Framework to Produce Customized Knowledge Graphs for CO(epmc).pdf DeepDyve Pubget Overpricing