title: A predictive microarray-based biomarker for early detection of Alzheimer's disease intended for clinical diagnostic application.
abstract: OBJECTIVE
  Microarray-based signatures for clinical application are often plagued by processing variability or batch effects that compromise the robustness of the test performance.
  
  
  METHODS
  A splice variant array-based signature for early detection of Alzheimer's disease (AD) was developed using 315 AD or normal subjects processed in three disparate microarray batches.
  
  
  RESULTS
  A modified top scoring pair classifier using the signature, is robust to batch effects and outperforms other common classifiers, with sensitivity and specificity of 88.3% (95% CI:81.2%, 93.4%) and 88.9% (95% CI:65.3%, 98.6%), respectively, on an independent cohort.
  
  
  CONCLUSIONS
  This splice-variant array-based signature shows promise for clinical diagnostic use in AD.
authors.affiliation: Exonhit, Inc., Gaithersburg, MD, USA.
authors.forename: Margaret
authors.initials: M
authors.lastname: Calciano
authors.forename: Jean Christophe
authors.initials: JC
authors.lastname: Lemarié
authors.forename: Elodie
authors.initials: E
authors.lastname: Blondiaux
authors.forename: Richard
authors.initials: R
authors.lastname: Einstein
authors.forename: Pascale
authors.initials: P
authors.lastname: Fehlbaum-Beurdeley
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D017398:Alternative Splicing; D000544:Alzheimer Disease / Q000175:diagnosis* / Q000235:genetics*; D015415:Biomarkers / Q000032:analysis; D018450:Disease Progression; D042241:Early Diagnosis; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D008297:Male; D020411:Oligonucleotide Array Sequence Analysis / Q000592:standards*; D025341:Principal Component Analysis; D012313:RNA / Q000032:analysis / Q000235:genetics*; D012680:Sensitivity and Specificity; D059467:Transcriptome
chemical_list: D015415:Biomarkers; D012313:RNA