ArticleBMC bioinformatics2006
A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification.
Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- A comparative evaluation of sufficient dimension reduction and traditional statistical methods for composite biomarker score construction in diagnostic classification.BMC medical research methodology · 2025Article
- The Role of MicroRNAs in the Pathophysiology and Management of Heart Failure: From Molecular Mechanisms to Clinical Application.International journal of molecular sciences · 2025Review
- Wireless Soft Athlete Bioelectronics for Monitoring Carbon Dioxide Ventilation and Physiological Performance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Multi-microRNA diagnostic panel for heart failure with preserved ejection fraction in preclinical and clinical settings.ESC heart failure · 2025Article
- All-in-One, Wireless, Multi-Sensor Integrated Athlete Health Monitor for Real-Time Continuous Detection of Dehydration and Physiological Stress.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Evaluation of the Sensitivity of Metabolic Profiling by Rapid Evaporative Ionization Mass Spectrometry: Toward More Radical Oral Cavity Cancer Resections.Analytical chemistry · 2022Article
- Blood amyloid and tau biomarkers as predictors of cerebrospinal fluid profiles.Journal of neural transmission (Vienna, Austria : 1996) · 2022Article
- Detection of Aberrant Glycosylation of Serum Haptoglobin for Gastric Cancer Diagnosis Using a Middle-Up-Down Glycoproteome Platform.Journal of personalized medicine · 2021Article
- Serum Midkine is a clinical significant biomarker for colorectal cancer and associated with poor survival.Cancer medicine · 2020Observational
- Early identification of atopic dermatitis patients in need of systemic immunosuppressive treatment.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2019Article
- Measuring midkine: the utility of midkine as a biomarker in cancer and other diseases.British journal of pharmacology · 2014Review
- Isomer-specific chromatographic profiling yields highly sensitive and specific potential N-glycan biomarkers for epithelial ovarian cancer.Journal of chromatography. A · 2013Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn spite of the recognized diagnostic potential of biomarkers, the quest for squelching noise and wringing in information from a given set of biomarkers continues. Here, we suggest a statistical algorithm that--assuming each molecular biomarker to be a diagnostic test--enriches the diagnostic performance of an optimized set of independent biomarkers employing established statistical techniques. We validated the proposed algorithm using several simulation datasets in addition to four publicly available real datasets that compared i) subjects having cancer with those without; ii) subjects with two different cancers; iii) subjects with two different types of one cancer; and iv) subjects with same cancer resulting in differential time to metastasis.
resultsOur algorithm comprises of three steps: estimating the area under the receiver operating characteristic curve for each biomarker, identifying a subset of biomarkers using linear regression and combining the chosen biomarkers using linear discriminant function analysis. Combining these established statistical methods that are available in most statistical packages, we observed that the diagnostic accuracy of our approach was 100%, 99.94%, 96.67% and 93.92% for the real datasets used in the study. These estimates were comparable to or better than the ones previously reported using alternative methods. In a synthetic dataset, we also observed that all the biomarkers chosen by our algorithm were indeed truly differentially expressed.
conclusionThe proposed algorithm can be used for accurate diagnosis in the setting of dichotomous classification of disease states.
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