Concordance between ER, PR, Ki67, and HER2‐low expression in breast cancer by MammaTyper RT‐qPCR and immunohistochemistry: implications for the practising pathologist

Συγγραφείς: Nahla Badr, Mohamed Zaakouk, Qi Zhang, Daniel B. Kearns, Anthony Kong, Abeer M. Shaaban

Πηγή: Histopathology. 85:437-450

Θεματικοί όροι: Adult, 0301 basic medicine, Cancer Research, Biopsy, Breast Neoplasms, Real-Time Polymerase Chain Reaction, Chromosome, Erb-b2 Receptor Tyrosine Kinases, Gene, Biochemistry, Real-time polymerase chain reaction, Pathology and Forensic Medicine, 03 medical and health sciences, Breast cancer, 0302 clinical medicine, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Health Sciences, Concordance, Biomarkers, Tumor, Pathology, Humans, Molecular Biology, Biology, Internal medicine, In Situ Hybridization, Fluorescence, Cancer, Fluorescence in situ hybridization, Life Sciences, Linguistics, Middle Aged, Immunohistochemistry, FOS: Philosophy, ethics and religion, 3. Good health, Philosophy, Ki-67 Antigen, Receptors, Estrogen, Oncology, Breast Pathology and Imaging Techniques, FOS: Languages and literature, Medicine, Female, Hormone Receptors, Biopsy, Large-Core Needle, Receptors, Progesterone, Kappa, Molecular Research on Breast Cancer

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38651302

A hybrid sampling combining Smote and RF algorithm for cancer chemotherapy protocols Classification

Συγγραφείς: Houda AIT BRAHIM, Oumayma Banouar, Salah EL-HADAJ, Abdelmoutalib METRANE

Πηγή: Statistics, Optimization & Information Computing. 12:617-629

Θεματικοί όροι: Life Sciences, Detector, Sampling (signal processing), 15. Life on land, Computer science, Clustering, 3. Good health, Algorithm, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Telecommunications, Medicine, Feature Selection, Molecular Biology, Internal medicine, Cancer

MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics

Συγγραφείς: Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem

Πηγή: IEEE Access, Vol 12, Pp 21840-21867 (2024)

Θεματικοί όροι: FOS: Computer and information sciences, Artificial intelligence, Bioinformatics, Pattern recognition (psychology), Features selection, Selection (genetic algorithm), Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Support Vector Machines, Microarray Data Analysis and Gene Expression Profiling, Machine learning, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Feature Selection, Molecular Biology, Constraint Handling, Prediction of Protein Subcellular Localization, Arithmetic, Particle swarm optimization, Life Sciences, Cuckoo search, data mining, bioinformatics, Computer science, TK1-9971, 3. Good health, Algorithm, machine learning, multi-objective optimization, Genetic algorithm, Computer Science, Physical Sciences, Nature-Inspired Algorithms, cuckoo search algorithm, Electrical engineering. Electronics. Nuclear engineering, Binary number, Mathematics

Σύνδεσμος πρόσβασης: https://doaj.org/article/25c7751d294147d98aaa4638d7d2d53e

Sparse Variable Selection on High Dimensional Heterogeneous Data With Tree Structured Responses

Συγγραφείς: Hui Liu, Xiang Liu 0017, Jing Diao, Wenting Ye, Xueling Liu, Dehui Wei

Πηγή: IEEE Access, Vol 12, Pp 50779-50791 (2024)

Θεματικοί όροι: Statistics and Probability, FOS: Computer and information sciences, 0301 basic medicine, Artificial intelligence, Learning and Inference in Bayesian Networks, mixed model, Confounding factors, Regularization and Variable Selection Methods, Mathematical analysis, 01 natural sciences, Methodology (stat.ME), 03 medical and health sciences, Selection (genetic algorithm), Artificial Intelligence, Lasso (programming language), Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Machine learning, FOS: Mathematics, Confounding, Sparse Models, Feature Selection, 0101 mathematics, Variable (mathematics), Molecular Biology, Data mining, Statistics - Methodology, Model Selection, 0303 health sciences, genome-wide association study, Statistics, Pure mathematics, Life Sciences, Computer science, TK1-9971, World Wide Web, Dimension (graph theory), Variable Selection, Physical Sciences, Computer Science, Feature selection, Tree (set theory), Dependency (UML), Electrical engineering. Electronics. Nuclear engineering, High-Dimensional Data, Mathematics, variable selection

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/1711.08265
https://doaj.org/article/1b1ef698156b4e45b7bc98012a462253

Towards U-statistics clustering inference for multiple groups

Συγγραφείς: Debora Zava Bello, Márcio Valk, Gabriela Bettella Cybis

Πηγή: Journal of Statistical Computation and Simulation. 94:204-222

Θεματικοί όροι: Statistics and Probability, Artificial intelligence, Regularization and Variable Selection Methods, Variational Inference, Clustering, Statistical hypothesis testing, Cluster analysis, Inference, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Machine learning, FOS: Mathematics, CURE data clustering algorithm, Molecular Biology, Data mining, Statistic, Fuzzy clustering, Statistics, Life Sciences, Computer science, Test statistic, Outlier, Computer Science, Physical Sciences, Clustering high-dimensional data, High-Dimensional Data, Model-Based Clustering with Mixture Models, Mathematics, Statistical inference

Nonparametric clustering of RNA‐sequencing data

Συγγραφείς: Gabriel Lozano, Nadia A. Lanman, Michael A. Levine

Πηγή: Statistical Analysis and Data Mining: The ASA Data Science Journal. 16:547-559

Θεματικοί όροι: FOS: Computer and information sciences, Artificial intelligence, Feature (linguistics), Mixture Models, Pattern recognition (psychology), Statistics - Applications, 01 natural sciences, Clustering, Identification (biology), Cluster analysis, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Machine learning, Salient, FOS: Mathematics, Applications (stat.AP), Interpretability, Expectation–maximization algorithm, 0101 mathematics, Molecular Biology, Data mining, Biology, Mixture model, Nonparametric statistics, Text Compression and Indexing Algorithms, Statistics, Botany, Life Sciences, Linguistics, Computer science, Multivariate statistics, FOS: Philosophy, ethics and religion, Algorithm, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Model-Based Clustering with Mixture Models, Mathematics, Maximum likelihood

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2209.11705

On the Polymorphism Information Content (PIC) – A Practical Application for the DNA Sequencing Data

Συγγραφείς: Roy, Pranto, Sogir, Sajjad Bin, Basak, Tapati

Πηγή: European Journal of Medical and Health Research. 1:21-29

Θεματικοί όροι: 0301 basic medicine, Genome-wide association study, Genotype, SNP, Inheritance (genetic algorithm), Gene, Genome-Wide Association, Computational biology, 03 medical and health sciences, Informativity, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Genetics, Molecular Biology, Biology, Allele, Single-nucleotide polymorphism, 0303 health sciences, Genome, PIC, 4. Education, Life Sciences, Standards and Guidelines for Genetic Variant Interpretation, Genomic Studies and Association Analyses, FOS: Biological sciences, Genetic association, Heterogeneity

BREAST CANCER DETECTION WITH MACHINE LEARNING APPROACH

Συγγραφείς: Sunday Samuel Olofintuyi

Πηγή: FUDMA JOURNAL OF SCIENCES. 7:216-222

Θεματικοί όροι: 0301 basic medicine, Artificial intelligence, Support vector machine, Deep Learning in Medical Image Analysis, Linear discriminant analysis, Health Professions, Logistic regression, 02 engineering and technology, Breast Cancer Diagnosis, 03 medical and health sciences, Breast cancer, Health Information Management, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Support Vector Machines, Health Sciences, Microarray Data Analysis and Gene Expression Profiling, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Decision tree, Molecular Biology, Internal medicine, Cancer, Machine Learning in Healthcare and Medicine, Naive Bayes classifier, 4. Education, Python (programming language), Life Sciences, Computer-Aided Detection, Computer science, 3. Good health, Operating system, Computer Science, Physical Sciences, Cancer Prognosis, Medical Image Analysis, Medicine

IDriveGenes: Cancer Driver Genes Prediction Using Machine Learning

Συγγραφείς: Yasir Ali, Muhammad Sardaraz, Muhammad Tahir 0004, Hela Elmannai, Monia Hamdi, Amel Ksibi

Πηγή: IEEE Access, Vol 11, Pp 28439-28453 (2023)

Θεματικοί όροι: Artificial neural network, Artificial intelligence, Support vector machine, driver genes, sequence variation, Gene, Biochemistry, Genetics and Molecular Biology, Support Vector Machines, Microarray Data Analysis and Gene Expression Profiling, Machine learning, Genetics, cancer, DNA sequencing, RNA Sequencing Data Analysis, Molecular Biology, Data mining, Biology, Accuracy, Prediction of Protein Subcellular Localization, Life Sciences, Deep learning, Computer science, TK1-9971, 3. Good health, machine learning, NGS, FOS: Biological sciences, sequence alignment, Mutation, Electrical engineering. Electronics. Nuclear engineering, Random forest

Σύνδεσμος πρόσβασης: https://doaj.org/article/75549f15bd9c419d8035210faf9788af

Saddlepoint p-values for a class of nonparametric tests for the current status and panel count data under generalized permuted block design

Συγγραφείς: Abd El-Raheem M. Abd El-Raheem, Mona Hosny

Πηγή: AIMS Mathematics, Vol 8, Iss 8, Pp 18866-18880 (2023)

Θεματικοί όροι: Statistics and Probability, Regularization and Variable Selection Methods, approximating exact p-value, Artificial Intelligence, current status data, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, QA1-939, FOS: Mathematics, two-sample tests, Molecular Biology, panel count data, Count data, Panel data, Nonparametric statistics, Nonparametric Bayesian, Statistics, Life Sciences, permuted block design, Applied mathematics, 3. Good health, Approximation error, Combinatorics, Physical Sciences, Computer Science, Poisson distribution, Model-Based Clustering with Mixture Models, saddlepoint approximation, Mathematics, Block (permutation group theory)

Σύνδεσμος πρόσβασης: https://doaj.org/article/ef0d9551121b4fd6af83e3fd50506387

Insight into breast cancer detection: new hybrid feature selection method

Συγγραφείς: Warda M. Shaban

Πηγή: Neural Computing and Applications. 35:6831-6853

Θεματικοί όροι: Artificial intelligence, Deep Learning in Medical Image Analysis, Feature (linguistics), 02 engineering and technology, Pattern recognition (psychology), Breast Cancer Diagnosis, Breast cancer, Selection (genetic algorithm), Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Health Sciences, 0202 electrical engineering, electronic engineering, information engineering, Feature Selection, Molecular Biology, Data mining, Internal medicine, Preprocessor, Cancer, FOS: Clinical medicine, Particle swarm optimization, Life Sciences, Linguistics, Computer-Aided Detection, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, Algorithm, Philosophy, Dentistry, Computer Science, Physical Sciences, Feature selection, FOS: Languages and literature, Periodontics, Medicine, Advancements in Dental Research and Treatment

Diagnosis of Breast Cancer Pathology on the Wisconsin Dataset with the Help of Data Mining Classification and Clustering Techniques

Συγγραφείς: Walid Theib Mohammad, Ronza Teete, Heyam Al-Aaraj, Yousef Rubbai, Majd Mowafaq Arabyat

Πηγή: Appl Bionics Biomech
Applied Bionics and Biomechanics, Vol 2022 (2022)

Θεματικοί όροι: FOS: Computer and information sciences, Data Analysis, Artificial intelligence, Deep Learning in Medical Image Analysis, QH301-705.5, 02 engineering and technology, Breast Cancer Diagnosis, Clustering, 03 medical and health sciences, Cluster analysis, Breast cancer, 0302 clinical medicine, Sociology, Artificial Intelligence, Data Mining Techniques and Applications, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Data Mining, Biology (General), Molecular Biology, Data mining, Internal medicine, Cancer, Multidisciplinary approach, Software engineering, Life Sciences, Social science, Computer science, FOS: Sociology, 3. Good health, Operability, Computer Science, Physical Sciences, Medicine, TP248.13-248.65, Biotechnology, Research Article, Information Systems

Περιγραφή αρχείου: text/xhtml

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/35401789
https://doaj.org/article/aa5e0b34030144e1a68b653011b6e562

Sequencing of Chromosomal Locus 6q25.1 Revealed Two Significant SNPs rs2046210 and rs2046211 Associated with Breast Cancer: A Case-Control Study in Egyptian Women

Συγγραφείς: Marwa H. Saied, Mohamed M. Rizk, Nesrine S El Sayed, Salma Mostafa, Salah Marzouk, Haytham Fayed

Πηγή: Asian Pac J Cancer Prev

Θεματικοί όροι: 0301 basic medicine, Genotype, Molecular biology, TaqMan, Breast Neoplasms, Polymorphism, Single Nucleotide, Gene, Pathology and Forensic Medicine, Molecular Characterization of Colorectal Cancer, 03 medical and health sciences, Breast cancer, Biochemistry, Genetics and Molecular Biology, Health Sciences, Microarray Data Analysis and Gene Expression Profiling, Breast Cancer, Genetics, Haplotype, Humans, Estrogen receptor, Genetic Predisposition to Disease, Genetic Research on BRCA Mutations and Cancer Risk, Molecular Biology, Biology, Internal medicine, Cancer, Allele, Single-nucleotide polymorphism, 0303 health sciences, Minor allele frequency, Allele frequency, Life Sciences, Case-control study, cancer susceptibility, Polymerase chain reaction, 3. Good health, Case-Control Studies, FOS: Biological sciences, Locus (genetics), Medicine, Egypt, Female, Research Article

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/35485697

True-positive reflex threshold value for HCV antibody screening test

Συγγραφείς: Ainulkhir Hussin, Rusmah Yusof, Mohd Yusof Nor Rahim, Frederick Dalusim, Nor Insyirah Othman, Nazlina Ibrahim, Muhammad Ashraf Shahidan

Πηγή: Journal of Infection in Developing Countries, Vol 16, Iss 03 (2022)

Θεματικοί όροι: 0301 basic medicine, Likelihood ratios in diagnostic testing, Immunology, Predictive value, Receiver operating characteristic, Hepacivirus, Youden's J statistic, Microbiology, Sensitivity and Specificity, 03 medical and health sciences, Biochemistry, Genetics and Molecular Biology, Reflex, Health Sciences, Microarray Data Analysis and Gene Expression Profiling, threshold, Latex fixation test, Humans, immunoassay, Feature Selection, Molecular Biology, Internal medicine, Antibody, Immunoassay, 0303 health sciences, Hepatology, FOS: Clinical medicine, Life Sciences, S/Co, Hepatitis C Antibodies, RC31-1245, Hepatitis C, QR1-502, 3. Good health, Hepatitis C Infection and Treatment, HCV, Medicine, Protein Aggregation and Biopharmaceutical Stability, true-positive

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/35404859
https://doaj.org/article/4c0e1028b45f444795c169924928a108

Prediction of Breast Cancer Using Machine Learning Techniques

Συγγραφείς: Tahir Iqbal, Asif Farooq, Nadeem Sarwar, Mohsin Ashraf, Asma Irshad

Πηγή: Bioscientific Review, Vol 4, Iss 1 (2022)

Θεματικοί όροι: Artificial intelligence, Support vector machine, Deep Learning in Medical Image Analysis, Linear discriminant analysis, neural network, QH301-705.5, Principal component analysis, Health Professions, Logistic regression, vector machine, 02 engineering and technology, Pattern recognition (psychology), Microbiology, Breast Cancer Diagnosis, breast cancer, Breast cancer, Health Information Management, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Support Vector Machines, Microarray Data Analysis and Gene Expression Profiling, Health Sciences, Machine learning, Logistic model tree, Decision tree, 0202 electrical engineering, electronic engineering, information engineering, Logistic Regression, Biology (General), Molecular Biology, Internal medicine, Cancer, Machine Learning in Healthcare and Medicine, Naive Bayes classifier, 4. Education, Life Sciences, Computer-Aided Detection, Computer science, QR1-502, 3. Good health, medical imaging support, machine learning, Computer Science, Physical Sciences, Feature selection, Cancer Prognosis, Medicine, naïve Bayes

Σύνδεσμος πρόσβασης: https://doaj.org/article/6e9d7a8ec3a34c0b87889bba8d8d3974

ES-sim-GLM, a Multiple Regression Trait-Dependent Diversification Approach

Συγγραφείς: Matthew Owen Moreira, Carlos Fonseca, Danny Rojas

Πηγή: Evolutionary Biology. 49:92-101

Θεματικοί όροι: Composite material, 0106 biological sciences, 0301 basic medicine, Speciation, Linear model, ES-sim-GLM, Trait, Generalized linear model, Liolaemidae, Evolutionary biology, 01 natural sciences, FOS: Economics and business, 03 medical and health sciences, Range (aeronautics), Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Genetics, FOS: Mathematics, Business, Econometrics, Geographic range size, Linear regression, Molecular Biology, Biology, Marketing, Diversification (marketing strategy), Statistics, Life Sciences, Body size, Computer science, Regression, Materials science, Programming language, Genetic Architecture of Quantitative Traits, FOS: Biological sciences, Genomic Selection in Plant and Animal Breeding, Macroevolution, Genome-wide Association Studies, Regression analysis, Mathematics

Σύνδεσμος πρόσβασης: http://hdl.handle.net/10773/34323

GSEnet: feature extraction of gene expression data and its application to Leukemia classification

Συγγραφείς: Kun Yu, Mingxu Huang, Shuaizheng Chen, Chaolu Feng, Wei Li

Πηγή: Mathematical Biosciences and Engineering, Vol 19, Iss 5, Pp 4881-4891 (2022)

Θεματικοί όροι: Cancer Research, Artificial intelligence, MicroRNA Regulation in Cancer and Development, Robustness (evolution), Gene Expression, 02 engineering and technology, Pattern recognition (psychology), Gene, Feature Extraction, senet, Automated Analysis of Blood Cell Images, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Machine learning, QA1-939, Genetics, 0202 electrical engineering, electronic engineering, information engineering, Humans, Feature Selection, Molecular Biology, Leukemia Classification, Data mining, Biology, resnet, Leukemia, feature extraction, 4. Education, deep learning, Life Sciences, Computer science, 3. Good health, FOS: Biological sciences, Computer Science, Physical Sciences, Feature selection, gene expression, Feature extraction, Neural Networks, Computer, Computer Vision and Pattern Recognition, TP248.13-248.65, Mathematics, Biotechnology

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/35430845
https://doaj.org/article/1f7f8024f6a04ae1ac39f98ec5eb5285

Consensus Nature Inspired Clustering of Single-Cell RNA-Sequencing Data

Συγγραφείς: Amany H. Abou El-Naga, Akram Salah, Sabah Sayed, Heba Mohsen

Πηγή: IEEE Access, Vol 10, Pp 98079-98094 (2022)

Θεματικοί όροι: 0301 basic medicine, Artificial intelligence, 0206 medical engineering, 02 engineering and technology, unsupervised learning, Clustering, Single-Cell, Computational biology, 03 medical and health sciences, Cluster analysis, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Droplet-based Sequencing, Cell Heterogeneity, RNA-Seq, Molecular Biology, Data mining, Biology, Single-cell RNA-seq, automatic clustering, swarm intelligence, consensus clustering, Life Sciences, Comprehensive Integration of Single-Cell Transcriptomic Data, Computer science, metaheuristic algorithms, TK1-9971, Analysis of Gene Interaction Networks, 3. Good health, Electrical engineering. Electronics. Nuclear engineering

Σύνδεσμος πρόσβασης: https://doaj.org/article/485c5ea17339418490afa6072d69bc87

Enhanced Deep Learning Model for Personalized Cancer Treatment

Συγγραφείς: Hanan Ahmed, Safwat H. Hamad, Howida A. Shedeed, Ashraf Saad Hussein

Πηγή: IEEE Access, Vol 10, Pp 106050-106058 (2022)

Θεματικοί όροι: FOS: Computer and information sciences, 0301 basic medicine, drug response prediction, Artificial intelligence, Drug Target Identification, Support vector machine, Bioinformatics, Drug response, Network Pharmacology, Real-Time Polymerase Chain Reaction, biomedical, 03 medical and health sciences, Biochemistry, Genetics and Molecular Biology, Microarray Data Analysis and Gene Expression Profiling, Machine learning, Molecular Biology, Biology, Psychiatry, 0303 health sciences, 4. Education, Life Sciences, Deep learning, personalized medicine, feedforward neural networks, Computer science, Dimensionality reduction, Personalized medicine, TK1-9971, 3. Good health, Computational Theory and Mathematics, Computer Science, Physical Sciences, Medicine, Electrical engineering. Electronics. Nuclear engineering, Drug, artificial neural networks, Computational Methods in Drug Discovery

Σύνδεσμος πρόσβασης: https://doaj.org/article/a46611409002480f8ea941ffe345fda7

Big Data and its Future in Computational Biology: A Literature Review

Συγγραφείς: Iman Ahmed ElSayed, Kamal A. ElDahshan, Hesham A. Hefny, Eman K. Elsayed

Πηγή: Journal of Computer Science. 17:1222-1228

Θεματικοί όροι: FOS: Computer and information sciences, Big Data, Artificial intelligence, Bioinformatics, Health Professions, Challenges and Innovations in Bioinformatics Education, 02 engineering and technology, Data science, Big data, Health Information Management, Big Data Analytics, Biochemistry, Genetics and Molecular Biology, Field (mathematics), Microarray Data Analysis and Gene Expression Profiling, Health Sciences, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Molecular Biology, Data mining, Biology, Machine Learning in Healthcare and Medicine, Computational model, Pure mathematics, Life Sciences, Computational Biology, Computer science, 3. Good health, Biological data, Emerging technologies, Systems biology, Mathematics

Σύνδεσμος πρόσβασης: https://thescipub.com/pdf/jcssp.2021.1222.1228.pdf