Performance of a genetic algorithm for mass spectrometry proteomics - Wikidata - awgldk - TriplyDB

Performance of a genetic algorithm for mass spectrometry proteomics

Performance of a genetic algorithm for mass spectrometry proteomics

http://www.wikidata.org/entity/Q24791171

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Feature selection and nearest centroid classification for protein mass spectrometry.Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process.Proteomic analysis of amniotic fluid to identify women with preterm labor and intra-amniotic inflammation/infection: the use of a novel computational method to analyze mass spectrometric profiling Optimization of filtering criterion for SEQUEST database searching to improve proteome coverage in shotgun proteomics Ranking bias in association studies.Identifying FGA peptides as nasopharyngeal carcinoma-associated biomarkers by magnetic beads.Bioinformatics approaches in clinical proteomics.A comprehensive workflow of mass spectrometry-based untargeted metabolomics in cancer metabolic biomarker discovery using human plasma and urine

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P2860

Performance of a genetic algorithm for mass spectrometry proteomics

http://www.wikidata.org/entity/Q24791171

description

2004 nî lūn-bûn

@nan

2004 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2004 թվականի նոյեմբերին հրատարակված գիտական հոդված

@hy

2004年の論文

@ja

2004年論文

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2004年論文

@zh-hant

2004年論文

@zh-hk

2004年論文

@zh-mo

2004年論文

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2004年论文

@wuu

name

Performance of a genetic algorithm for mass spectrometry proteomics

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Performance of a genetic algorithm for mass spectrometry proteomics

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Performance of a genetic algorithm for mass spectrometry proteomics

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type

label

Performance of a genetic algorithm for mass spectrometry proteomics

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Performance of a genetic algorithm for mass spectrometry proteomics

@en

Performance of a genetic algorithm for mass spectrometry proteomics

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prefLabel

Performance of a genetic algorithm for mass spectrometry proteomics

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Performance of a genetic algorithm for mass spectrometry proteomics

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Performance of a genetic algorithm for mass spectrometry proteomics

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1471-2105-5-180

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BMC Bioinformatics

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Performance of a genetic algorithm for mass spectrometry proteomics

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Neal O Jeffries

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P2860

A data review and re-assessment of ovarian cancer serum proteomic profiling

Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer

Diagnosis of multiple cancer types by shrunken centroids of gene expression

''R"--project for statistical computing

Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments.

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.

Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data.

Boosted decision tree analysis of surface-enhanced laser desorption/ionization mass spectral serum profiles discriminates prostate cancer from noncancer patients.

A comprehensive approach to the analysis of matrix-assisted laser desorption/ionization-time of flight proteomics spectra from serum samples.

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1471-2105-5-180

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