A statistical model providing comprehensive predictions for the mRNA differential display | Zendy

David Meintrup | Zendy; Ellen Reisinger | Zendy

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A statistical model providing comprehensive predictions for the mRNA differential display

Author(s) -

David Meintrup,

Ellen Reisinger

Publication year - 2005

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti636

Subject(s) - computer science , differential (mechanical device) , computational biology , statistical analysis , statistical model , differential display , gene , data mining , messenger rna , biology , artificial intelligence , genetics , mathematics , statistics , physics , thermodynamics

Differential display (DD) or arbitrarily primed fingerprinting serves to identify differentially expressed genes, but these techniques cannot determine how many of the theoretically available genes have been uncovered. Previous mathematical models are unsatisfying as they are not suitable to analyze experimental data.

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