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Biologics repositioning: ml-SOM analysis raw results

<p><strong>Summary</strong></p> <p>This dataset contains raw result files for multiple-layer SOM (ml-SOM) repositioning analysis of infliximab and brodalumab.&nbsp;</p> <p><strong>Infliximab_results.zip</strong>&nbsp;archive contains&nbsp;the results of ml-SOM repositioning analysis of infliximab (T1) as a potential therapeutics for ulcerative colitis (D1), Crohn&rsquo;s disease (D2), COPD (R1) and sarcoidosis (R2).</p> <p>Data is organized in the archive as follows:</p> <ol> <li>inflixmab_UC_CD_COPD_SARC021018_results+.RData - R data file that contains ml-SOM environment</li> <li>folder &quot;inflixmab_UC_CD_COPD_SARC021018_results+ - Results&quot; - comprises of various PDF and CSV files representing the a&nbsp;ml-SOM analysis results. It also contains the separate&nbsp;layer-level SOM analysis results for all datasets: <ul> <li>folder &quot;1&quot; - SOM analysis of&nbsp;infliximab dataset</li> <li>folder &quot;2&quot; - SOM analysis for&nbsp;ulcerative colitis and Crohn&#39;s disease dataset</li> <li>folder &quot;3&quot; - SOM analysis for COPD&nbsp;dataset</li> <li>folder &quot;4&quot; - SOM analysis for&nbsp;sarcoidosis dataset.</li> </ul> </li> </ol> <p><strong>Brodalumab_results.zip</strong> archive contains&nbsp;the results of ml-SOM repositioning analysis of brodalumab (T1) as a potential therapeutics for psoriasis (D1), Crohn&rsquo;s disease (R1),&nbsp;and systemic juvenile idiopathic arthritis (R2).</p> <p>Data is organized in the archive as follows:</p> <ol> <li>brodalumab_CD_SJIA_301218_results+.RData - R data file that contains ml-SOM environment</li> <li>folder &quot;brodalumab_CD_SJIA_301218_results+ - Results&quot; - comprises of various PDF and CSV files representing the a&nbsp;ml-SOM analysis results. It also contains the separate&nbsp;layer-level SOM analysis results for all datasets: <ul> <li>folder &quot;1&quot; - SOM analysis of&nbsp;brodalumab and psoriasis dataset</li> <li>folder &quot;2&quot; - SOM analysis for Crohn&#39;s disease dataset</li> <li>folder &quot;3&quot; - SOM analysis for&nbsp;systemic juvenile idiopathic arthritis&nbsp;dataset</li> </ul> </li> </ol> <p>For detailed instructions on browsing the results and their interpretation please refer to the oposSOM package manual [1], as well as original publications [2-4].&nbsp;</p> <p><strong>References</strong></p> <ol> <li>Henry Loeffler-Wirth, Hoang Thanh Le and Martin KalcheroposSOM.Comprehensive analysis of transcriptome data.&nbsp;DOI: <a href="https://doi.org/doi:10.18129/B9.bioc.oposSOM">10.18129/B9.bioc.oposSOM</a>&nbsp;</li> <li>L&ouml;ffler-Wirth H, Kalcher M, Binder H.&nbsp;oposSOM: R-package for high-dimensional portraying of genome-wide expression landscapes on bioconductor.Bioinformatics. 2015 Oct 1;31(19):3225-7. DOI: 10.1093/bioinformatics/btv342. Epub 2015 Jun 10.</li> <li>Wirth H, von Bergen M, Binder H.&nbsp;Mining SOM expression portraits: feature selection and integrating concepts of molecular function.&nbsp;BioData Min. 2012 Oct 8;5(1):18. DOI: 10.1186/1756-0381-5-18.</li> <li>Wirth H, L&ouml;ffler M, von Bergen M, Binder H.&nbsp;Expression cartography of human tissues using self organizing maps.&nbsp;BMC Bioinformatics. 2011 Jul 27;12:306. DOI: 10.1186/1471-2105-12-306.</li> </ol> <p>&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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