Data mining techniques for cancer detection using serum proteomic profiling.
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A hybrid feature subset selection algorithm for analysis of high correlation proteomic dataSerum albumin level is a notable profiling factor for non-B, non-C hepatitis virus-related hepatocellular carcinoma: A data-mining analysis.Mass spectrometry-based analysis of therapy-related changes in serum proteome patterns of patients with early-stage breast cancer.Bioinformatics and data mining in proteomics.Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles.Mass spectrometry in diagnostic oncoproteomics.A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification.Optimization of filtering criterion for SEQUEST database searching to improve proteome coverage in shotgun proteomicsDiagnostic potential of serum protein pattern in Type 2 diabetic nephropathy.Qualitative evaluation of chromatographic data from quality control schemes using a support vector machine.Comparison of supervised classification methods for protein profiling in cancer diagnosisMass spectrometry-based serum proteome pattern analysis in molecular diagnostics of early stage breast cancer.Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines.An introspective comparison of random forest-based classifiers for the analysis of cluster-correlated data by way of RF++.Association between plasma proteome profiles analysed by mass spectrometry, a lymphocyte-based DNA-break repair assay and radiotherapy-induced acute mucosal reaction in head and neck cancer patients.Characterization of discriminatory urinary proteomic biomarkers for severe preeclampsia using SELDI-TOF mass spectrometry.An automated plasma protein fractionation design: high-throughput perspectives for proteomic analysis.Influence of honeybee sting on peptidome profile in human serum.Statistical and computational methods for comparative proteomic profiling using liquid chromatography-tandem mass spectrometry.A novel approach for prediction of tacrolimus blood concentration in liver transplantation patients in the intensive care unit through support vector regressionProteomic profile determination of autosomal aneuploidies by mass spectrometry on amniotic fluids.Design and calibration of microarrays as universal transcriptomic environmental biosensorsProteomic analysis of bone cancer: a review of current and future developments.Application of density estimation algorithms in analyzing co-morbidities of migraine.Combining random forest and 2D correlation analysis to identify serum spectral signatures for neuro-oncology.Development of clinical decision rules to predict recurrent shock in dengue.Evolving role of serum biomarkers in the management of ovarian cancer.BagMOOV: A novel ensemble for heart disease prediction bootstrap aggregation with multi-objective optimized voting.A survey on evolutionary algorithm based hybrid intelligence in bioinformatics.Application of support vector machine in cancer diagnosis.Evolution of extrema features reveals optimal stimuli for biological state transitions.
P2860
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P2860
Data mining techniques for cancer detection using serum proteomic profiling.
description
2004 nî lūn-bûn
@nan
2004 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Data mining techniques for cancer detection using serum proteomic profiling.
@ast
Data mining techniques for cancer detection using serum proteomic profiling.
@en
type
label
Data mining techniques for cancer detection using serum proteomic profiling.
@ast
Data mining techniques for cancer detection using serum proteomic profiling.
@en
prefLabel
Data mining techniques for cancer detection using serum proteomic profiling.
@ast
Data mining techniques for cancer detection using serum proteomic profiling.
@en
P2093
P1476
Data mining techniques for cancer detection using serum proteomic profiling.
@en
P2093
Jianli Gong
Melvyn Tockman
Michael Gruidl
Robert A Clark
P356
10.1016/J.ARTMED.2004.03.006
P577
2004-10-01T00:00:00Z