Sentence examples for established a classifier for from inspiring English sources
Following the pioneering study of Alizadeh et al (2000), which established a classifier for B-cell lymphomas, a number of data sets have been generated that contain expression signatures for various biologic and clinical tumour phenotypes.
Methods: By using previously established gene expression profiles with proven value in predicting metastasis-free and overall survival (wound-response signature, 70-gene prognosis profile and hypoxia-induced profile) and training towards an optimal prediction of local recurrences in a training series, we establish a classifier for local recurrence after breast-conserving therapy.
By using previously established gene expression profiles with proven value in predicting metastasis-free and overall survival (wound-response signature, 70-gene prognosis profile and hypoxia-induced profile) and training towards an optimal prediction of local recurrences in a training series, we establish a classifier for local recurrence after breast-conserving therapy.
During the cross-validation process, we established an RVM classifier for each kind of activity, i.e., there were in total 13 different RVM classifiers for all kinds of activities.
A gene expression centroid was constructed by averaging the expression values of the samples in primary and secondary angiosarcomas for each gene in order to establish a signature classifier for nearest centroid classification.
In establishing an OVR classifier for separating type A from others, the training data will be divided into two groups, one containing the A samples (8 samples) and another containing the remaining 72 samples (B to J).
The following previously established gene expression profiles were used to find a classifier for local recurrence after BCT: 1.
The linear SVM classification algorithm producing a number of necessary weak classifiers is combined with Adaboost algorithm to establish a strong classifier.
We present preliminary work towards a classifier for these adjectives.
Using these genes, we constructed a classifier for bacterial LRTI with 90%7979% CV) sensitivity and 83% (76% CV) specificity.
