Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding scheme - Wikidata - awgldk - TriplyDB

Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding scheme

Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding scheme

http://www.wikidata.org/entity/Q25255642

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Prodepth: predict residue depth by support vector regression approach from protein sequences only Predicting residue-wise contact orders in proteins by support vector regression An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors Classification with Incomplete Data Using Dirichlet Process Priors Structured Matrix Completion with Applications to Genomic Data Integration.Missing value imputation improves clustering and interpretation of gene expression microarray data.Integrative missing value estimation for microarray data.Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes.Dealing with missing values in large-scale studies: microarray data imputation and beyond.Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments.A comparison of imputation procedures and statistical tests for the analysis of two-dimensional electrophoresis data Towards a HPC-oriented parallel implementation of a learning algorithm for bioinformatics applications.TANGLE: two-level support vector regression approach for protein backbone torsion angle prediction from primary sequences Novel urinary protein biomarkers predicting the development of microalbuminuria and renal function decline in type 1 diabetes Missing Value Estimation for Compound-Target Activity Data.A method for learning a sparse classifier in the presence of missing data for high-dimensional biological datasets.Identifying the miRNA signature associated with survival time in patients with lung adenocarcinoma using miRNA expression profiles.Incorporating Nonlinear Relationships in Microarray Missing Value Imputation The analysis of microRNA expression profiling for coronary artery disease.Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.

P2860

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P2860

Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding scheme

http://www.wikidata.org/entity/Q25255642

description

2006 nî lūn-bûn

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2006 թուականի Յունուարին հրատարակուած գիտական յօդուած

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2006 թվականի հունվարին հրատարակված գիտական հոդված

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2006年の論文

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2006年論文

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2006年論文

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2006年論文

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2006年論文

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2006年论文

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name

Missing value estimation for D ...... n and orthogonal coding scheme

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Missing value estimation for D ...... n and orthogonal coding scheme

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Missing value estimation for D ...... n and orthogonal coding scheme

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Missing value estimation for D ...... n and orthogonal coding scheme

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Missing value estimation for D ...... n and orthogonal coding scheme

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Missing value estimation for D ...... n and orthogonal coding scheme

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Missing value estimation for D ...... n and orthogonal coding scheme

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Missing value estimation for D ...... n and orthogonal coding scheme

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Missing value estimation for D ...... n and orthogonal coding scheme

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Missing value estimation for D ...... n and orthogonal coding scheme

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Ao Li

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Huanqing Feng

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Xian Wang

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Zhaohui Jiang

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P2860

Cluster analysis and display of genome-wide expression patterns

Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization

Estimating mutual information using B-spline functions--an improved similarity measure for analysing gene expression data

Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes

Quantitative inference of dynamic regulatory pathways via microarray data

Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels and spotted DNA microarrays

Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

Genomic expression programs in the response of yeast cells to environmental changes

Knowledge-based analysis of microarray gene expression data by using support vector machines

Molecular portraits of human breast tumours

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support vector machine

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1403803

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