Searching for "Biomarker Selection" – sorted by Relevance.
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Analysis of mass spectral serum profiles for biomarker selection
- .1093/bioinformatics/bti670 Analysis of mass spectral serum profiles for biomarker selection Habtom W. Ressom 1
- Cited by 6 (3 self) – Add To MetaCart
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Analysis of MALDI-TOF serum profiles for biomarker selection and sample classification
- Analysis of MALDI-TOF Serum Profiles for Biomarker Selection and Sample Classification H. W
- Cited by 1 (1 self) – Add To MetaCart
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N.H.H.: Robust svmbased biomarker selection with noisy mass spectrometric proteomic data
- Robust SVM-based biomarker selection with noisy mass spectrometric proteomic data Elena Marchiori
- Cited by 2 (0 self) – Add To MetaCart
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Heterogeneous Data Fusion for Alzheimer’s Disease Study
- on a kernel method. We further extend the kernel framework for selecting features (biomarkers) from
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Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
- methods used to select biomarkers include T-statistics (Guoan et al., 2002), classification methods
- Cited by 32 (1 self) – Add To MetaCart
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Identifying Clinical and Genetic Markers of Human Disease by Classifying Features on Graphs
- present a new formulation of supervised bio-marker selection: instead of selecting a set of features
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tering: A Review
- .) with different sets of potential biomarkers selected through different data mining algorithms. Another question
- Cited by 3 (0 self) – Add To MetaCart
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Functional interpretation of microarray experiments
- for biomarker selection purposes. In this context, different statistical tests along with methods
- Cited by 11 (3 self) – Add To MetaCart
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ORIGINAL CONTRIBUTION Risk Factors Associated With �-Amyloid(1-42) Immunotherapy in Preimmunization Gene
- No Meningoencephalitis A B 5.5 x x Figure 2. Optimal biomarkers selected on the basis of distinguishing all patients
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ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
- for regularized estimation and biomarker selection. They also developed Monte Carlo based methods for evaluating
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