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We assess multivariate QUEST DTs with unbiased classification rules and linear discriminant node models for integrated vegetation mapping and change detection.
We quantified the contribution of each of the factors to cancer classification and provided unbiased classification performance estimates using established unbiased data analysis protocols.
Using the subject-level bootstrap results in unbiased classification error rate estimation, regardless of whether the dependence within clusters is incorporated into the tree construction.
This approach allows for unbiased classification of SIDER subgroups when considering the underlying phylogenetic tree.
Only non-censored records were used in the cross-validation analysis to favor unbiased classification.
Unbiased classification methods for ncRNAs could be important to improve accuracy and to detect new ncRNA classes in sequencing data.
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To obtain unbiased ethnic classification of the CMG study participants, we used PRIMUS [ 15] and genotype data from Illumina's Human Exome (v.1-1 or v.1-2) arrays.
Reclassification of observations was effected by cross-validation (leaving-one-out) method [ 35]; this method is known to provide unbiased re-classification results.
Unbiased internal quality classification of Chestnuts (Castanea spp). is extremely important to the fresh and processed industries.
A fair and unbiased comparison between classification techniques is crucial.
We carried out multiple unbiased forms of classification using a series of unsupervised techniques and identified metabolic signatures that distinguish malignant glioma patients from the control patients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com