Keywords: طبقه بندی سرطان; Cancer classification; Death certificates; Machine learning; Natural language processing; Rules; Hybrid;
مقالات ISI طبقه بندی سرطان (ترجمه نشده)
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Keywords: طبقه بندی سرطان; Cancer classification; Gene selection; Bat algorithm; Feature selection; Evolutionary algorithms; Microarray data analysis;
Keywords: طبقه بندی سرطان; Microarray data analysis; Cancer classification; Improved Binary Particle Swarm Optimization (iBPSO); Hybrid model; Gene selection; Naive-Bayes;
Keywords: طبقه بندی سرطان; Machine learning; Cancer genomics; Cancer classification; Cancer identification; Personalized treatment;
Keywords: طبقه بندی سرطان; Tumor cell detection; Cell morphology; Aptamers; Machine learning; Cancer classification;
Keywords: طبقه بندی سرطان; Gene selection; Cancer classification; Information gain; Support vector machine; Small sample size with high dimension;
Keywords: طبقه بندی سرطان; Feature selection (FS); Artificial bee colony (ABC); Independent component analysis (ICA); Naïve bayes (NB); Cancer classification;
Keywords: طبقه بندی سرطان; Feature selection; Bacterial Colony Optimization; Bacterial Foraging Optimization; Cancer classification;
Keywords: طبقه بندی سرطان; Gene selection; Cancer classification; Microarray data analysis; Intelligent Dynamic Algorithm; Random-restart hill climbing; Reinforcement learning; Penalizing strategy; Cut and splice crossover; Self-refinement strategy; Feature selection;
Keywords: طبقه بندی سرطان; Biomarker; Cancer classification; Gene selection; Genetic algorithm; Learning automata;
Keywords: طبقه بندی سرطان; 00-01; 99-00; Deep learning; Convolutional neural networks; Gastric carcinoma; Digital pathology; Histopathological image analysis; Cancer classification; Necrosis detection;
Keywords: طبقه بندی سرطان; Pancreatic cancer; Neoadjuvant therapy; Cancer classification; Imaging techniques; Response to treatment;
Keywords: طبقه بندی سرطان; Microarray; Cancer classification; Machine Learning; Incremental Learning Machines; CorrentropySCILM, sparse compact incremental learning machine; SVM, support vector machine; PLS, partial least square; ELM, extreme learning machine; ANNs, artificial neur
Keywords: طبقه بندی سرطان; Gene expression data; Kernel-based clustering; Adaptive distance; Gene selection; Cancer classification;
Keywords: طبقه بندی سرطان; Computer-aided diagnosis; Breast cancer; Pattern analysis; Cancer classification; Malignancy grading;
Keywords: طبقه بندی سرطان; Mass spectrometry data; Cancer classification; Wavelet transformation; Genetic algorithm; Feature extraction;
Keywords: طبقه بندی سرطان; Cancer classification; Gene selection; Clustering; Evolutionary algorithms; Cuckoo optimization algorithm; COA-GA
Keywords: طبقه بندی سرطان; Adaptive elastic net; Oracle property; Regularized logistic regression; Cancer classification; Gene selection
Keywords: طبقه بندی سرطان; Weight of evidence; Dose response; Mode of action; Threshold; Problem formulation; Hazard identification; Human health risk assessment; Cancer classification; Chloroform; Carbon tetrachloride;
Keywords: طبقه بندی سرطان; Analytic hierarchy process; Hidden Markov model; Cancer classification; DNA microarray; Gene expression profile; Gene selection
Keywords: طبقه بندی سرطان; Data discretization; Gene expression; Gene regulation; Cancer classification; High-throughput technology;
Keywords: طبقه بندی سرطان; Cancer classification; Gene expression; Particle swarm optimization; C4.5;
Keywords: طبقه بندی سرطان; Gene expression data; Randomization test; Partial least squares discriminant analysis; Gene selection; Cancer classification;
Keywords: طبقه بندی سرطان; Data mining; Gene expression; Cancer classification; Gene ontology; Semantic similarity; Feature evaluation and selection;
Keywords: طبقه بندی سرطان; Discriminant neighborhood embedding; Adjacent graph; Gene expression data; Cancer classification; Microarray data
Recursive Memetic Algorithm for gene selection in microarray data
Keywords: طبقه بندی سرطان; Recursive memetic algorithm; Gene selection; Microarry data; Biomarker; Cancer classification;
Co-ABC: Correlation artificial bee colony algorithm for biomarker gene discovery using gene expression profile
Keywords: طبقه بندی سرطان; Gene expression profile; Gene selection method; CFS; Cancer classification; Artificial bee colony; ABC; Correlation-based feature selection;
Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification
Keywords: طبقه بندی سرطان; Cancer classification; miRNA biomarker; Convolutional neural networks; Tensorflow; Evolutionary algorithms;
Multiclass cancer classification using a feature subset-based ensemble from microRNA expression profiles
Keywords: طبقه بندی سرطان; Cancer classification; Data mining; Ensemble learning; miRNA expression;
IARC use of oxidative stress as key mode of action characteristic for facilitating cancer classification: Glyphosate case example illustrating a lack of robustness in interpretative implementation
Keywords: طبقه بندی سرطان; Glyphosate; IARC; Oxidative stress; Mechanism of action; Mode of action; Cancer classification;
Classification of DNA microarrays using artificial neural networks and ABC algorithm
Keywords: طبقه بندی سرطان; DNA microarrays; Artificial neural networks; Pattern recognition; Cancer classification; Artificial Bee Colony algorithm
A Hierarchical Ensemble of ECOC for cancer classification based on multi-class microarray data
Keywords: طبقه بندی سرطان; Error Correcting Output Codes (ECOC); Ensemble learning; Cancer classification; Feature selection; Multi-class microarray data
Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification
Keywords: طبقه بندی سرطان; Adaptive LASSO; Penalized logistic regression; Cancer classification; Gene selection;
Automatic ICD-10 classification of cancers from free-text death certificates
Keywords: طبقه بندی سرطان; Cancer classification; Death certificates; Machine learning; Natural language processing;
Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification
Keywords: طبقه بندی سرطان; Microarray; Gene selection; Feature selection; Cancer classification; Gene expression profile; Filter method; Artificial Bee Colony; ABC; MRMR
A New Direction of Cancer Classification: Positive Effect of Low-Ranking MicroRNAs
Keywords: طبقه بندی سرطان; cancer classification; feature selection; low-ranking miRNAs; miRNA expression profile
Selection of interdependent genes via dynamic relevance analysis for cancer diagnosis
Keywords: طبقه بندی سرطان; Cancer classification; Gene selection; Information theory; Medical diagnosis
Identification of Molecular Subtypes of Gastric Cancer With Different Responses to PI3-Kinase Inhibitors and 5-Fluorouracil
Keywords: طبقه بندی سرطان; Stomach Cancer; GC-Class; Personalized Cancer Treatment; Cancer Classification; PI3K
The improvement of breast cancer prognosis accuracy from integrated gene expression and clinical data
Keywords: طبقه بندی سرطان; Breast cancer prognosis; Genetic algorithm; Support vector machine; Gene selection; Cancer classification; Gene expression; Clinical data
A gene selection method for microarray data based on risk genes
Keywords: طبقه بندی سرطان; Cancer classification; Clustering analysis; Gene selection; Microarray data; Risk genes
An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification
Keywords: طبقه بندی سرطان; Dantzig selector; Lasso; Gene selection; Cancer classification
Regularized logistic regression without a penalty term: An application to cancer classification with microarray data
Keywords: طبقه بندی سرطان; Logistic regression; Regularization; Estimation of distribution algorithms; Cancer classification; Microarray data;
A novel support vector sampling technique to improve classification accuracy and to identify key genes of leukaemia and prostate cancers
Keywords: طبقه بندی سرطان; Machine learning; Artificial intelligence; Biomedicine; Gene selection; Cancer classification; SVM; Leukaemia; Prostate cancer
Fuzzy-rough discriminative feature selection and classification algorithm, with application to microarray and image datasets
Keywords: طبقه بندی سرطان; Classifier; Fuzzy-rough sets; Feature selection; Discriminative features; Pattern recognition; Cancer classification; Margin classifier
A Bayesian hybrid Huberized support vector machine and its applications in high-dimensional medical data
Keywords: طبقه بندی سرطان; Cancer classification; Elastic-net penalty; Gene expression microarrays; Gene selection and grouping; Hierarchical and empirical Bayes; Hybrid Huberized support vector machine
Kernel based gene expression pattern discovery and its application on cancer classification
Keywords: طبقه بندی سرطان; Kernel density estimation; Association rule; Gene expression; Cancer classification
Ensemble gene selection for cancer classification
Keywords: طبقه بندی سرطان; Gene selection; Ensemble learning; Cancer classification; Mutual information; Microarray data
Gene boosting for cancer classification based on gene expression profiles
Keywords: طبقه بندی سرطان; Gene selection; Cancer classification; Wrapper method; Filter method; Boosting
MicroRNA expression profile based cancer classification using Default ARTMAP
Keywords: طبقه بندی سرطان; Cancer classification; Default ARTMAP; Particle swarm optimization; miRNA expression profile
Sparse discriminant analysis for breast cancer biomarker identification and classification
Keywords: طبقه بندی سرطان; Biomarker identification; Cancer classification; Discriminant analysis; Maximum penalized likelihood; Microarray data analysis