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Biomarkers were selected using two criteria.
In addition, several biomarkers were selected using immunoproteomic studies [ 31, 57, 68] and were reported to be promising proteins for Q fever serodiagnosis.
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Using the proposed method as in the previous study, and considering only the healthy and cancer data, a series of potential biomarkers was selected using solely database 1 14.
A DNA aptamer with affinity and specificity for human osteopontin (OPN), a potential breast cancer biomarker, was selected using the SELEX process, considering its homology rate and the stability of its secondary structures.
Substantially different patient groups were selected using each potential predictive biomarker.
In the absence of a predictive molecular biomarker, treatments are selected using a combination of variables, including the licensed indication of the drug, which in turn can influence funding arrangements, and clinico-pathological factors relating to the patient and the disease biology.
Moreover, the RA biomarkers that are addressed in this work have also been selected using the M13 phage display system.
Eight biomarkers were selected and analyzed by using an enzyme-linked immunosorbent assay: interleukin (IL -1, IL -1 IL-6 and IL-81; leukemiandnhibitory factor (LIF); cartilage oligomeric protein (COMP); osteocalcin; and osteogenic protein 1 (OP-1).
Biomarkers were selected by the comparison of patients and healthy controls using the intensities of monoisotopic peaks.
The biomarkers were selected based on the results of a previous study by our group using high throughput proteomic analysis [9].
When using gene expression data to predict sample properties, variables related to biomarkers are selected.
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