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1Academic Journal
المؤلفون: KAMRAN, M, MUKHTAR, M, ALI, M, UMAIR, M, AHMED, A
المصدر: Biological and Clinical Sciences Research Journal; Vol. 2023 No. 1 (2023): Volume-4, Issue-1, 2023 (January to December-Medical and Clinical Sciences); 271 ; 2708-2261 ; 2958-4728
مصطلحات موضوعية: Multivariable Linear Regression Analysis, Peak CK-MB Levels, ST-Elevation Myocardial Infarction, Randomized Controlled Trial, Atorvastatin, Rosuvastatin, Statins
وصف الملف: application/pdf
Relation: http://bcsrj.com/ojs/index.php/bcsrj/article/view/271/381; http://bcsrj.com/ojs/index.php/bcsrj/article/view/271
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2Academic Journal
المؤلفون: Xavier L. Francis, Suresh Paramasivam
المصدر: Science and Engineering of Composite Materials, Vol 25, Iss 3, Pp 473-487 (2018)
مصطلحات موضوعية: industrial waste, multivariable linear regression analysis, taguchi method, thrust force, tool wear, torque, Materials of engineering and construction. Mechanics of materials, TA401-492
وصف الملف: electronic resource
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3Academic Journal
المؤلفون: Duchowicz, Pablo Román, Comelli, Nieves Carolina, Ortiz, Erlinda del Valle, Castro, Eduardo Alberto
مصطلحات موضوعية: Química, Ciencias Exactas, Admet, Carcinogenicity, Molecular descriptors, Multivariable linear regression analysis, QSAR theory
وصف الملف: application/pdf; 282-288
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4
مصطلحات موضوعية: multivariable linear regression analysis, метод наименьших квадратов, детерминация коэффициенті, коэффициент детерминации, көпшілік сызықтық регрессивтік талдау, множественный линейный регрессионный анализ, Least squares distance method, доверительные интервалы, coefficient of determination, ең аз квадраттар әдісі, SPSS, confidence intervals, сенімділік интервалдары
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5
المصدر: SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICETمصطلحات موضوعية: Models, Molecular, Quantitative structure–activity relationship, Carcinogenicity Tests, MOLECULAR DESCRIPTORS, Quantitative Structure-Activity Relationship, Feature selection, Toxicology, computer.software_genre, Cross-validation, Set (abstract data type), purl.org/becyt/ford/1 [https], Molecular descriptors, Multivariable linear regression analysis, Molecular descriptor, purl.org/becyt/ford/1.4 [https], Medicine, Humans, Pharmacology (medical), MULTIVARIABLE LINEAR REGRESSION ANALYSIS, Organic Chemicals, Ciencias Exactas, Pharmacology, Admet, Carcinogenicity, business.industry, Otras Ciencias Químicas, Linear model, Ciencias Químicas, Química, QSAR theory, CARCINOGENICITY, QSAR THEORY, ADMET, Test set, Carcinogens, Linear Models, Data mining, business, computer, Software, CIENCIAS NATURALES Y EXACTAS, Applicability domain
وصف الملف: application/pdf
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6
المؤلفون: Erlinda V. Ortiz, Nieves Carolina Comelli, Andrey A. Toropov, Magdalena Kolacz, Pablo R. Duchowicz, Eduardo A. Castro, Alla P. Toropova
مصطلحات موضوعية: Quantitative structure–activity relationship, business.industry, Process Chemistry and Technology, Físico-Química, Ciencia de los Polímeros, Electroquímica, Structural descriptors, Ciencias Químicas, Feature selection, QSAR theory, Cross-validation, Computer Science Applications, Analytical Chemistry, Multivariable linear regression analysis, Docking (molecular), Test set, Linear regression, c-Src tyrosine kinase, Artificial intelligence, business, Biological system, Tyrosine kinase, Spectroscopy, Software, CIENCIAS NATURALES Y EXACTAS, Applicability domain, Mathematics
وصف الملف: application/pdf
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7Academic Journal
المؤلفون: Duchowicz, Pablo Román, Comelli, Nieves Carolina, Ortiz, Erlinda del Valle, Castro, Eduardo Alberto
مصطلحات موضوعية: ADMET, CARCINOGENICITY, MOLECULAR DESCRIPTORS, MULTIVARIABLE LINEAR REGRESSION ANALYSIS, QSAR THEORY, https://purl.org/becyt/ford/1.4, https://purl.org/becyt/ford/1
وصف الملف: application/pdf
Relation: info:eu-repo/semantics/altIdentifier/url/http://www.currentdrugsafety.com/articles/104955/qsar-study-for-carcinogenicity-in-a-large-set-of-organic-compounds; http://hdl.handle.net/11336/81029; Duchowicz, Pablo Román; Comelli, Nieves Carolina; Ortiz, Erlinda del Valle; Castro, Eduardo Alberto; QSAR study for carcinogenicity in a large set of organic compounds; Bentham Science Publishers; Current Drug Safety; 7; 4; 11-2012; 282-288; CONICET Digital; CONICET
الاتاحة: http://hdl.handle.net/11336/81029
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8Academic Journal
المؤلفون: Comelli, Nieves Carolina, Ortiz, Erlinda del Valle, Kolacz, Magdalena, Toropova, Alla P., Toropov, Andrey A., Duchowicz, Pablo Román, Castro, Eduardo Alberto
مصطلحات موضوعية: Qsar Theory, Multivariable Linear Regression Analysis, C-Src Tyrosine Kinase, Structural Descriptors, https://purl.org/becyt/ford/1.4, https://purl.org/becyt/ford/1
وصف الملف: application/pdf
Relation: info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169743914000446; info:eu-repo/semantics/altIdentifier/url/10.1016/j.chemolab.2014.03.003; http://hdl.handle.net/11336/5268; Comelli, Nieves Carolina; Ortiz, Erlinda del Valle; Kolacz, Magdalena; Toropova, Alla P.; Toropov, Andrey A.; et al.; Conformation-Independent QSAR on c-Src Tyrosine Kinase Inhibitors; Elsevier; Chemometrics and Intelligent Laboratory Systems; 134; 3-2014; 47-52
الاتاحة: http://hdl.handle.net/11336/5268