Domain > cancerminer.org

More information on this domain is in AlienVault OTX

DNS Resolutions

Date	IP Address
2024-05-08	104.21.73.250 (ClassC)
2024-11-04	172.67.151.207 (ClassC)

HTTP/1.1 200 OKDate: Wed, 08 May 2024 17:59:29 GMTContent-Type: text/htmlTransfer-Encoding: chunkedConnection: keep-aliveVary: Accept-EncodingCF-Cache-Status: DYNAMICReport-To: {endpoints:{url:https:/

!DOCTYPE HTML>html>head>title>CancerMiner/title>meta charsetutf-8>meta nameviewport contentwidthdevice-width,initial-scale1.0,maximum-scale1.0,user-scalable0 />meta namedescription contentSearch recurring microRNA-mRNA associations across cancer types />link relcanonical hrefhttp://cancerminer.org /> style typetext/css>   div {     width: 900px;    margin-left:auto;    margin-right:auto;   }  /style>/head>body border0 bgcolor#e8e8e8>p>iframe srchttp://192.34.56.5/ width100% height900 aligncenter border0 frameBorder0> You browser does not support frames!/iframe>/p>div styleclear:both;>/div>div>p>CancerMiner.org is a comprehensive resource fordiscovery and prioritization of functional miRNA-mRNA target interactions and relationships in human cancer using molecular datasets from a href  http://cancergenome.nih.gov>The Cancer Genome Atlas/a>.The resource is developed and maintained at a href https://www.ndrugs.com>www/a> the Computational Biology Center at Memorial Sloan-Kettering Cancer Center (MSKCC). /p>p>i>Analysis in single cancer types./i> Our method first evaluates expression relationships of miRNAs andmRNAs in individual cancer types. For each miRNA-mRNA pair, wemeasure the association between miRNA and mRNA expression across theset of patient tumors using a multivariate linear model that also factors invariation (noise) in mRNA expression induced by changes in DNA copynumber and promoter methylation at the mRNA gene locus./p>p>i>Analysis across cancer types./i> To explore the hypothesis that individual miRNA-target relationshipsare active in multiple cancer types and may regulate common cancertraits, we use a rank-based statistical score, the i>REC/i>score. The approach ranks miRNA-mRNA expression associations in thecontext of miRNA and cancer type and evaluates the null hypothesisthat no association exists between the miRNA-mRNA pair in all cancertypes. This rank-based approach ensuresthat individual cancer types are weighted equally, and limits biasfrom cancer data sets with large sample sizes or from stro

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Domain > cancerminer.org

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