نتائج البحث - "Gokmen Zararsiz"

1

Genome Wide Gene Expression Profiling and Molecular Classification of Renal Cell Cancer Subtypes

المؤلفون: Tunahan Taşçi, Selcuk Korkmaz, Dincer Goksuluk, Ahmet Öztürk, Halit Karaca, Gözde Ertürk Zararsız, Vahap Eldem, Gokmen Zararsiz

المصدر: Journal of Advances in Information Technology. :10-16

مصطلحات موضوعية: 0301 basic medicine, Cancer genome sequencing, Computer Networks and Communications, Computational biology, Biology, Bioinformatics, Genome, Computer Science Applications, Gene expression profiling, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Molecular classification, Artificial Intelligence, 030220 oncology & carcinogenesis, Cell cancer, Software, Information Systems

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf274f9a2556f38ea9f153609667576aTest
https://doi.org/10.12720/jait.8.1.10-16Test

2

MLSeq: Machine learning interface for RNA-sequencing data

المؤلفون: Selcuk Korkmaz, Dincer Goksuluk, Ahmet Öztürk, Erdener Ozcetin, Ahmet Ergun Karaagaoglu, Gokmen Zararsiz, Gözde Ertürk Zararsız, Vahap Eldem

المساهمون: Hitit Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü, [Belirlenecek]

مصطلحات موضوعية: Normalization (statistics), Support Vector Machine, Health Informatics, Linear Discriminant Analysis, Negative Binomial, 030218 nuclear medicine & medical imaging, Machine Learning, Bioconductor, 03 medical and health sciences, 0302 clinical medicine, Humans, Preprocessor, Poisson Distribution, Sequence Analysis, RNA, business.industry, Gene Expression Profiling, Discriminant Analysis, Pattern recognition, Linear discriminant analysis, Data structure, Classification, Poisson, Computer Science Applications, Support vector machine, Statistical classification, ComputingMethodologies_PATTERNRECOGNITION, Test set, RNA-Sequencing, Linear Models, RNA, Programming Languages, Artificial intelligence, business, Algorithms, 030217 neurology & neurosurgery, Software

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::307a69bad6f10e840446e5ad47954b5aTest
https://hdl.handle.net/11491/745Test

3

Machine learning based classification of cells into chronological stages using single-cell transcriptomics

المؤلفون: Halil I. Bilgin, Susanne Reinhardt, Selcuk Korkmaz, Sharan Janjuha, Anne Eugster, Samata Chaudhuri, Sumeet Pal Singh, Gokmen Zararsiz, Nikolay Ninov, Sevina Dietz, John E. Reid

مصطلحات موضوعية: Premature aging, Candidate gene, biology, business.industry, Single cell transcriptomics, Robustness (evolution), biology.organism_classification, Machine learning, computer.software_genre, Calorie intake, Transcriptome, Artificial intelligence, business, Set (psychology), Zebrafish, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e9a9fbc3a2b5364be44767fa110165aTest
https://doi.org/10.1101/303214Test

4

Machine learning based classification of cells into chronological stages using single-cell transcriptomics

المؤلفون: Halil I. Bilgin, Selcuk Korkmaz, Sharan Janjuha, Samata Chaudhuri, Sumeet Pal Singh, Gokmen Zararsiz, Nikolay Ninov, Sevina Dietz, Annekathrin Kränkel, Anne Eugster, Susanne Reinhardt, John E. Reid

المساهمون: Tıp Fakültesi

المصدر: Sci. Rep. 8:17156 (2018)
Scientific Reports
Scientific Reports, 8 (1
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)

مصطلحات موضوعية: 0301 basic medicine, Premature aging, Candidate gene, Single cell transcriptomics, Cytological Techniques, lcsh:Medicine, Biology, Cycle, Machine learning, computer.software_genre, Article, Transcriptome, Machine Learning, 03 medical and health sciences, Insulin-Secreting Cells, Animals, Humans, lcsh:Science, Zebrafish, Multidisciplinary, business.industry, Gene Expression Profiling, lcsh:R, Signatures, Age Factors, Robustness (evolution), Sciences bio-médicales et agricoles, Pancreatic-Islets, biology.organism_classification, Calorie intake, Dynamics, Gene expression profiling, 030104 developmental biology, lcsh:Q, Biologie cellulaire, Artificial intelligence, Single-Cell Analysis, business, computer

وصف الملف: application/pdf; 1 full-text file(s): application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::342b81d46566c20241b1787676f0076bTest
http://dspace.trakya.edu.tr/xmlui/handle/trakya/4243Test

5

Drug/nondrug classification using Support Vector Machines with various feature selection strategies

المؤلفون: Dincer Goksuluk, Selcuk Korkmaz, Gokmen Zararsiz

المصدر: Computer Methods and Programs in Biomedicine. 117:51-60

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9327b323495d87ac1721259c348510e3Test
https://doi.org/10.1016/j.cmpb.2014.08.009Test

6

A comprehensive simulation study on classification of RNA-Seq data

المؤلفون: Ahmet Öztürk, Dincer Goksuluk, Gözde Ertürk Zararsız, Vahap Eldem, Selcuk Korkmaz, Gokmen Zararsiz, İzzet Paruğ Duru

المساهمون: Biyoistatistik

المصدر: PLoS ONE, Vol 12, Iss 8, p e0182507 (2017)
PLoS ONE

مصطلحات موضوعية: 0301 basic medicine, Support Vector Machine, Molecular biology, Microarrays, Computer science, lcsh:Medicine, Linear Discriminant Analysis, Bioinformatics, Biochemistry, Trees, Machine Learning, Sequencing techniques, Mathematical and Statistical Techniques, 0302 clinical medicine, lcsh:Science, Multidisciplinary, Applied Mathematics, Simulation and Modeling, RNA sequencing, Plants, Random forest, Nucleic acids, Bioassays and Physiological Analysis, 030220 oncology & carcinogenesis, Physical Sciences, Algorithms, Statistics (Mathematics), Research Article, Computer and Information Sciences, 03 medical and health sciences, Overdispersion, Artificial Intelligence, Support Vector Machines, Genetics, Humans, Statistical Methods, Non-coding RNA, Biology and life sciences, Sequence Analysis, RNA, business.industry, lcsh:R, Organisms, Pattern recognition, Linear discriminant analysis, Gene regulation, Research and analysis methods, Support vector machine, MicroRNAs, Statistical classification, Molecular biology techniques, 030104 developmental biology, Sample size determination, RNA, lcsh:Q, Gene expression, Artificial intelligence, business, Mathematics

وصف الملف: text/plain; application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7a557b40de249d7a6e26f850e3bf0f5Test
http://europepmc.org/articles/PMC5568128?pdf=renderTest

7

voomDDA: discovery of diagnostic biomarkers and classification of RNA-seq data

المؤلفون: Selcuk Korkmaz, Vahap Eldem, Ahmet Öztürk, Dincer Goksuluk, Gokmen Zararsiz, Bernd Klaus, Erdem Karabulut

المصدر: PeerJ
PeerJ, Vol 5, p e3890 (2017)

مصطلحات موضوعية: 0301 basic medicine, Bioinformatics, Computer science, lcsh:Medicine, computer.software_genre, Machine learning, Poisson distribution, Computational Science, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, symbols.namesake, Overdispersion, Voom transformation, Gene-expression based classification, Diagonal discriminant analysis, Nearest shrunken centroids, business.industry, General Neuroscience, lcsh:R, Statistics, Computational Biology, Centroid, General Medicine, Linear discriminant analysis, Random forest, Support vector machine, Diagnostic biomarker discovery, 030104 developmental biology, Discriminant, symbols, Data mining, Artificial intelligence, General Agricultural and Biological Sciences, business, Medical Genetics, computer, Classifier (UML)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c419125353917c866f9bac9cf984c71Test
https://doi.org/10.7717/peerj.3890Test

8

Diagonal Discriminant Analysis for Gene-Expression Based Tumor Classification

المؤلفون: Selcuk Korkmaz, Dincer Goksuluk, Gokmen Zararsiz, Ahmet Öztürk, Vahap Eldem

مصطلحات موضوعية: Artificial Intelligence, Computer Networks and Communications, Diagonal, Gene expression, Computational biology, Linear discriminant analysis, Software, Computer Science Applications, Information Systems, Mathematics

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48139198b9f4ed2392856f8e19bd6cebTest
https://avesis.erciyes.edu.tr/publication/details/508c5585-80c9-4828-978a-ab9e218005f4/oaiTest

9

Classification of RNA-Seq Data via Bagging Support Vector Machines

المؤلفون: Turgay Unver, Vahap Eldem, Dincer Goksuluk, Ahmet Öztürk, Gokmen Zararsiz, Selcuk Korkmaz, İzzet Paruğ Duru

مصطلحات موضوعية: Normalization (statistics), business.industry, Computer science, Machine learning, computer.software_genre, Linear discriminant analysis, Random forest, Support vector machine, Statistical classification, ComputingMethodologies_PATTERNRECOGNITION, Artificial intelligence, business, computer, Classifier (UML)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8496b8c4038247f6f4b7e735848b3132Test

10

Comparing Kernel Functions of Support Vector Machines for Different Gene Selection Methods in a Microarray Study

المؤلفون: Ahmet Öztürk, Erdal Cosgun, Gokmen Zararsiz, Erdem Karabulut, Mehmet Köprü, Ferhan Elmali

مصطلحات موضوعية: Computer science, business.industry, Biomedical Engineering, Bioengineering, Pattern recognition, Support vector machine, Relevance vector machine, Gene selection, Kernel method, Polynomial kernel, Radial basis function kernel, Artificial intelligence, business, Biotechnology

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73e60b3881d91439b0f1ce5c7536489cTest
https://avesis.erciyes.edu.tr/publication/details/bb5262e9-634f-4aac-b222-6063d0ad8d81/oaiTest

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