Pages that link to "Q30690335"
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The following pages link to Selection bias in gene extraction on the basis of microarray gene-expression data (Q30690335):
Displaying 50 items.
- Bias in error estimation when using cross-validation for model selection (Q21284241) (← links)
- An integrative genomic and proteomic approach to chemosensitivity prediction (Q23909225) (← links)
- Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction (Q24288960) (← links)
- Neuropsychosocial profiles of current and future adolescent alcohol misusers (Q24289323) (← links)
- Molecular signatures from omics data: from chaos to consensus (Q24289539) (← links)
- Translational biomarker discovery in clinical metabolomics: an introductory tutorial (Q24598642) (← links)
- A subtype of childhood acute lymphoblastic leukaemia with poor treatment outcome: a genome-wide classification study (Q24651897) (← links)
- Identification of expressed genes linked to malignancy of human colorectal carcinoma by parametric clustering of quantitative expression data (Q24791397) (← links)
- Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression data (Q24793372) (← links)
- Multivariate search for differentially expressed gene combinations (Q24794984) (← links)
- Non-linear mapping for exploratory data analysis in functional genomics (Q24799309) (← links)
- Entropy-based gene ranking without selection bias for the predictive classification of microarray data (Q24799956) (← links)
- Unbiased descriptor and parameter selection confirms the potential of proteochemometric modelling (Q24805088) (← links)
- Classification between normal and tumor tissues based on the pair-wise gene expression ratio (Q24805850) (← links)
- Evaluation of gene importance in microarray data based upon probability of selection (Q24811552) (← links)
- Early detection of breast cancer based on gene-expression patterns in peripheral blood cells (Q24813356) (← links)
- GEPAS, an experiment-oriented pipeline for the analysis of microarray gene expression data (Q24813561) (← links)
- A molecular map of mesenchymal tumors (Q24814030) (← links)
- A comparative study of discriminating human heart failure etiology using gene expression profiles (Q24815374) (← links)
- Using decision forest to classify prostate cancer samples on the basis of SELDI-TOF MS data: assessing chance correlation and prediction confidence (Q24816527) (← links)
- Gene selection and classification of microarray data using random forest. (Q25255911) (← links)
- Instance-based concept learning from multiclass DNA microarray data (Q25257130) (← links)
- Gene selection algorithms for microarray data based on least squares support vector machine. (Q25257168) (← links)
- Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential (Q26782613) (← links)
- Pattern recognition in bioinformatics (Q26852625) (← links)
- Cross-validation pitfalls when selecting and assessing regression and classification models (Q27703014) (← links)
- Reliable estimation of prediction errors for QSAR models under model uncertainty using double cross-validation (Q27902330) (← links)
- A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data (Q28081297) (← links)
- Prediction of Genetic Interactions Using Machine Learning and Network Properties (Q28084302) (← links)
- Key aspects of analyzing microarray gene-expression data (Q28299740) (← links)
- Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data (Q28386273) (← links)
- Environmental mold and mycotoxin exposures elicit specific cytokine and chemokine responses (Q28394853) (← links)
- Molecular predictors of 3D morphogenesis by breast cancer cell lines in 3D culture (Q28473032) (← links)
- A methodology for the design of experiments in computational intelligence with multiple regression models (Q28590175) (← links)
- Cardiovascular genomics: a biomarker identification pipeline (Q28596902) (← links)
- Expanding the Understanding of Biases in Development of Clinical-Grade Molecular Signatures: A Case Study in Acute Respiratory Viral Infections (Q28744065) (← links)
- Evaluating microarray-based classifiers: an overview (Q28761774) (← links)
- Mining kidney toxicogenomic data by using gene co-expression modules (Q28822270) (← links)
- Utilizing the molecular gateway: the path to personalized cancer management. (Q30371443) (← links)
- Protein function prediction using text-based features extracted from the biomedical literature: the CAFA challenge (Q30428516) (← links)
- On the relevance of sophisticated structural annotations for disulfide connectivity pattern prediction (Q30428796) (← links)
- Data mining in genomics (Q30440132) (← links)
- Gene selection with multiple ordering criteria (Q30443450) (← links)
- Quantitative PCR on 5 genes reliably identifies CTCL patients with 5% to 99% circulating tumor cells with 90% accuracy (Q30477329) (← links)
- Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data (Q30478009) (← links)
- Analyse multiple disease subtypes and build associated gene networks using genome-wide expression profiles (Q30488013) (← links)
- An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests (Q30496268) (← links)
- Causal graph-based analysis of genome-wide association data in rheumatoid arthritis (Q30501358) (← links)
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models (Q30512428) (← links)
- Determination of colonoscopy indication from administrative claims data (Q30519472) (← links)