Please use this identifier to cite or link to this item:
https://olympias.lib.uoi.gr/jspui/handle/123456789/21284Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zintzaras, E. | en |
| dc.contributor.author | Ioannidis, J. P. | en |
| dc.date.accessioned | 2015-11-24T19:14:19Z | - |
| dc.date.available | 2015-11-24T19:14:19Z | - |
| dc.identifier.issn | 1367-4803 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/21284 | - |
| dc.rights | Default Licence | - |
| dc.subject | Chromosome Mapping | en |
| dc.subject | Computational Biology/*instrumentation/*methods | en |
| dc.subject | *Genetic Linkage | en |
| dc.subject | Genetic Markers | en |
| dc.subject | *Genetic Predisposition to Disease | en |
| dc.subject | Genome | en |
| dc.subject | *Genome, Human | en |
| dc.subject | Genotype | en |
| dc.subject | Humans | en |
| dc.subject | Linkage Disequilibrium | en |
| dc.subject | Lod Score | en |
| dc.subject | Meta-Analysis as Topic | en |
| dc.subject | Monte Carlo Method | en |
| dc.subject | Pedigree | en |
| dc.subject | Software | en |
| dc.title | HEGESMA: genome search meta-analysis and heterogeneity testing | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.primary | 10.1093/bioinformatics/bti536 | - |
| heal.identifier.secondary | http://www.ncbi.nlm.nih.gov/pubmed/15955784 | - |
| heal.identifier.secondary | http://bioinformatics.oxfordjournals.org/content/21/18/3672.full.pdf | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής | el |
| heal.publicationDate | 2005 | - |
| heal.abstract | SUMMARY: Heterogeneity and genome search meta-analysis (HEGESMA) is a comprehensive software for performing genome scan meta-analysis, a quantitative method to identify genetic regions (bins) with consistently increased linkage score across multiple genome scans, and for testing the heterogeneity of the results of each bin across scans. The program provides as an output the average of ranks and three heterogeneity statistics, as well as corresponding significance levels. Statistical inferences are based on Monte Carlo permutation tests. The program allows both unweighted and weighted analysis, with the weights for each study as specified by the user. Furthermore, the program performs heterogeneity analyses restricted to the bins with similar average ranks. AVAILABILITY: http://biomath.med.uth.gr. | en |
| heal.journalName | Bioinformatics | en |
| heal.journalType | peer-reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Zintzaras-2005-HEGESMA_ genome sear.pdf | 32.62 kB | Adobe PDF | View/Open Request a copy |
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