scholarly article | Q13442814 |
P8978 | DBLP publication ID | conf/evoW/AhmedZPX16 |
P356 | DOI | 10.1007/978-3-319-31204-0_8 |
P50 | author | Mengjie Zhang | Q90362954 |
Lifeng Peng | Q38590218 | ||
Bing Xue | Q86839766 | ||
P2093 | author name string | Soha Ahmed | |
P2860 | cites work | Molecular classification of cancer: class discovery and class prediction by gene expression monitoring | Q27861072 |
XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification | Q29616057 | ||
Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse | Q29620396 | ||
Feature selection and machine learning with mass spectrometry data | Q30624810 | ||
Use of proteomic patterns in serum to identify ovarian cancer | Q30819686 | ||
Feature extraction and quantification for mass spectrometry in biomedical applications using the mean spectrum | Q31143825 | ||
Toxicoproteomics: serum proteomic pattern diagnostics for early detection of drug induced cardiac toxicities and cardioprotection | Q33204056 | ||
Ant colony optimization for biomarker identification from MALDI-TOF mass spectra | Q33303129 | ||
Advances in metaheuristics for gene selection and classification of microarray data | Q33507483 | ||
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-redundancy | Q34445269 | ||
Serum proteomic patterns for detection of prostate cancer | Q40627138 | ||
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-II | Q56112663 | ||
Improving feature ranking for biomarker discovery in proteomics mass spectrometry data using genetic programming | Q60375776 | ||
Multiple feature construction for effective biomarker identification and classification using genetic programming | Q60375777 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | biomarker | Q864574 |
P304 | page(s) | 106-122 | |
P577 | publication date | 2016-01-01 | |
P1433 | published in | Lecture Notes in Computer Science | Q924044 |
P1476 | title | A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data |
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