Identification and Clinical Translation of Biomarker Signatures: Statistical Considerations.

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Identification and Clinical Translation of Biomarker Signatures: Statistical Considerations.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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2017年學術文章

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Identification and Clinical Tr ...... s: Statistical Considerations.

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Identification and Clinical Tr ...... s: Statistical Considerations.

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Identification and Clinical Tr ...... s: Statistical Considerations.

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Identification and Clinical Tr ...... s: Statistical Considerations.

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Identification and Clinical Tr ...... s: Statistical Considerations.

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Identification and Clinical Tr ...... s: Statistical Considerations.

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P1476

Identification and Clinical Tr ...... s: Statistical Considerations.

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P2093

Emanuel Schwarz

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P2860

Machine learning for medical diagnosis: history, state of the art and perspective

A simulation-approximation approach to sample size planning for high-dimensional classification studies.

Determination of minimum sample size and discriminatory expression patterns in microarray data.

How large a training set is needed to develop a classifier for microarray data?

Evaluation of microarray preprocessing algorithms based on concordance with RT-PCR in clinical samples.

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data.

Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms

The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures.

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning.

P304

103-114

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P31

scholarly article

P356

10.1007/978-1-4939-6730-8_6

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P407

English

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1546

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P577

2017-01-01T00:00:00Z

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P698

27896759

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P921

Amar