Identifying biomarkers from mass spectrometry data with ordinal outcome - Wikidata - wikimedia - TriplyDB

Identifying biomarkers from mass spectrometry data with ordinal outcome

Identifying biomarkers from mass spectrometry data with ordinal outcome

http://www.wikidata.org/entity/Q33448531

about

A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles A novel wavelet-based thresholding method for the pre-processing of mass spectrometry data that accounts for heterogeneous noise.A unified modeling framework for metabonomic profile development and covariate selection for acute trauma subjects Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data.Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data An Efficient Stochastic Search for Bayesian Variable Selection with High-Dimensional Correlated Predictors INCORPORATING BIOLOGICAL INFORMATION INTO LINEAR MODELS: A BAYESIAN APPROACH TO THE SELECTION OF PATHWAYS AND GENES.A Bayesian approach to identify genes and gene-level SNP aggregates in a genetic analysis of cancer data.

P2860

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P2860

Identifying biomarkers from mass spectrometry data with ordinal outcome

http://www.wikidata.org/entity/Q33448531

description

2007 nî lūn-bûn

@nan

2007 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2007 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2007年の論文

@ja

2007年論文

@yue

2007年論文

@zh-hant

2007年論文

@zh-hk

2007年論文

@zh-mo

2007年論文

@zh-tw

2007年论文

@wuu

name

Identifying biomarkers from mass spectrometry data with ordinal outcome

@ast

Identifying biomarkers from mass spectrometry data with ordinal outcome

@en

type

label

Identifying biomarkers from mass spectrometry data with ordinal outcome

@ast

Identifying biomarkers from mass spectrometry data with ordinal outcome

@en

prefLabel

Identifying biomarkers from mass spectrometry data with ordinal outcome

@ast

Identifying biomarkers from mass spectrometry data with ordinal outcome

@en

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Cancer Informatics

P1476

Identifying biomarkers from mass spectrometry data with ordinal outcome

@en

P2093

Deukwoo Kwon

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Mahlet G Tadesse

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Naijun Sha

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Ruth M Pfeiffer

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P2860

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

Diagnosis of multiple cancer types by shrunken centroids of gene expression

Data reduction using a discrete wavelet transform in discriminant analysis of very high dimensionality data.

Use of proteomic patterns in serum to identify ovarian cancer.

Quality control and peak finding for proteomics data collected from nipple aspirate fluid by surface-enhanced laser desorption and ionization.

Biomarker discovery in microarray gene expression data with Gaussian processes.

Multiscale processing of mass spectrometry data.

Feature extraction and quantification for mass spectrometry in biomedical applications using the mean spectrum.

Classification of cancer types by measuring variants of host response proteins using SELDI serum assays.

Quantification of fragments of human serum inter-alpha-trypsin inhibitor heavy chain 4 by a surface-enhanced laser desorption/ionization-based immunoassay.

P304

19-28

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Marina Vannucci

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2007-02-05T00:00:00Z

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19455232

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