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10.1007/978-1-0716-1839-4_13 http://scihub22266oqcxt.onion/10.1007/978-1-0716-1839-4_13 34902130!ä!34902130 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34902130&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 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\34902130.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Methods+Mol+Biol 2022 ; 2401 (ä): 195-215 Nephropedia Template TP {{tp|p=34902130|t=2022. Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19-Related Studies |pdf=|usr=}}{{34902130}} gab.com Text Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19-Related Studies JO: Methods Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=34902130 #FOAvip The COVID-19 pandemic has hit heavily many aspects of our lives. At this time, genomic research is concerned with exploiting available datasets and knowledge to fuel discovery on this novel disease. Studies that can precisely characterize the gene expression profiles of human hosts infected by SARS-CoV-2 are of significant relevance. However, not many such experiments have yet been produced to date, nor made publicly available online. Thus, it is of paramount importance that data analysts explore all possibilities to integrate information coming from similar viruses and related diseases; interestingly, microarray gene profile experiments become extremely valuable for this purpose. This chapter reviews the aspects that should be considered when integrating transcriptomics data, considering mainly samples infected by different viruses and combining together various data types and also the extracted knowledge. It describes a series of scenarios from studies performed in literature and it suggests possible other directions of noteworthy integration. Twit Text FOAVip Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19-Related Studies ????Methods Mol Biol http://www.kidney.de/pget.php?&tw=1&pmid=34902130 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34902130 #FOAvip English Wikipedia <ref>{{Cite pmid|34902130}}</ref> Scenarios for the Integration of Microarray Gene Expression Profiles in COVID-19-Related Studies #MMPMID34902130 Bernasconi A; Cascianelli S Methods Mol Biol 2022[]; 2401 (ä): 195-215 PMID34902130show ga The COVID-19 pandemic has hit heavily many aspects of our lives. At this time, genomic research is concerned with exploiting available datasets and knowledge to fuel discovery on this novel disease. Studies that can precisely characterize the gene expression profiles of human hosts infected by SARS-CoV-2 are of significant relevance. However, not many such experiments have yet been produced to date, nor made publicly available online. Thus, it is of paramount importance that data analysts explore all possibilities to integrate information coming from similar viruses and related diseases; interestingly, microarray gene profile experiments become extremely valuable for this purpose. This chapter reviews the aspects that should be considered when integrating transcriptomics data, considering mainly samples infected by different viruses and combining together various data types and also the extracted knowledge. It describes a series of scenarios from studies performed in literature and it suggests possible other directions of noteworthy integration. |*COVID-19/genetics[MESH] |*Gene Expression Profiling[MESH] |Genomics[MESH] |Humans[MESH] |Pandemics[MESH]Scenarios for the Integration of Microarray Gene Expression Profiles i(epmc).pdf DeepDyve Pubget Overpricing