A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data

A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDconf/evoW/AhmedZPX16
P356DOI10.1007/978-3-319-31204-0_8

P50authorMengjie ZhangQ90362954
Lifeng PengQ38590218
Bing XueQ86839766
P2093author name stringSoha Ahmed
P2860cites workMolecular classification of cancer: class discovery and class prediction by gene expression monitoringQ27861072
XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identificationQ29616057
Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouseQ29620396
Feature selection and machine learning with mass spectrometry dataQ30624810
Use of proteomic patterns in serum to identify ovarian cancerQ30819686
Feature extraction and quantification for mass spectrometry in biomedical applications using the mean spectrumQ31143825
Toxicoproteomics: serum proteomic pattern diagnostics for early detection of drug induced cardiac toxicities and cardioprotectionQ33204056
Ant colony optimization for biomarker identification from MALDI-TOF mass spectraQ33303129
Advances in metaheuristics for gene selection and classification of microarray dataQ33507483
Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms.Q33843142
Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancyQ34445269
Serum proteomic patterns for detection of prostate cancerQ40627138
Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting.Q51807875
Genetic programming for simultaneous feature selection and classifier design.Q51951617
A fast and elitist multiobjective genetic algorithm: NSGA-IIQ56112663
Improving feature ranking for biomarker discovery in proteomics mass spectrometry data using genetic programmingQ60375776
Multiple feature construction for effective biomarker identification and classification using genetic programmingQ60375777
P407language of work or nameEnglishQ1860
P921main subjectbiomarkerQ864574
P304page(s)106-122
P577publication date2016-01-01
P1433published inLecture Notes in Computer ScienceQ924044
P1476titleA Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data

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