and prediction
Diallel and prediction (REML/BLUP) for yield components in intervarietal maize hybrids.
... Regarding MHG, 57 intervarietal hybrids revealed that the new predicted mean (NM) was higher than the trait overall mean. Besides, increments due to predicted genetic effects (G) and additive genetic effects (U+G) were ...
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Comparative insilico studies on domain prediction of rheumatoid factors in rheumatoid arthritis and sjogren’s syndrome
... Protein function prediction uses a single source of information the most common being the amino acid sequence of the protein. Biological databases can be used to retrieve the Gene sequences and Protein sequences. ...
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Automatic prediction of age, gender, and nationality in offline handwriting
... gender prediction, 55.76% for age range prediction, and ...nationality prediction when all writers produce the same handwritten text and ...gender prediction, 60.62% for age range ...
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Modeling and prediction of mrr and surface roughness in turning operations using factorial method and regression method
... prediction, process control or optimization [8]. In order to evaluate the effect of cutting parameters of turning process in terms of cutting performance such as surface roughness of the machined work-piece and ...
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Prediction of Term Structure with Potentially Misspecified Macro Finance Models near the Zero Lower Bound
... The Gaussian affine term structure model (ATSM) has been a popular choice in the model- ing of yield curve given its analytical tractable bond pricing formula as well as the linear dependence of the model-implied bond ...
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Prediction Of Diabetes And Cholesterol Diseases Based On Ensemble Learning Techniques
... and prediction to improve model ...new prediction based on ensemble learning combining ...new prediction whereas ordinary ml algorithms will produce a single ...
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PDTDB – An integrative structural database and prediction server for plant metabolites and therapeutic drug targets
... image, and 3D structure), 8 records of targets (including major entities such as description, sequence, 3D structure, and image), 8 records of diseases (including major entities such as description, symptoms, and image), ...
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Expert optimization and prediction of bead volume of mild steel butt welded joint
... the prediction and established the suitability of response surface methodology using the quadratic model, a reliability plot of the observed and predicted values of each response was obtained as presented in ...
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Molecular cloning, phylogenetic analysis and structure prediction Of amt1 from azolla anabaena azollae symbiotic system
... structure prediction method (Baker and Sali, 2001). Protein structure prediction helps to provide the biological function and mechanism of action of an unknown protein (Khan et ...structure ...
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<p>COPD classification models and mortality prediction capacity</p>
... Patients and methods: A total of 543 patients with COPD (FEV 1 ,80% and FEV 1 / FVC ,70%) were included between January 2003 and January 2004. Patients were stable for at least 6 weeks before inclusion and were followed ...
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Intelligent and Effective Diabetes Risk Prediction System Using Data Mining
... out frequent patterns of dataset. Those algorithms are very simple and effective to find out frequent patterns. Frequent patterns are the sets of data that are frequently occurred into data warehouse. Significant ...
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Sequence based Structured Prediction for Semantic Parsing
... one of the three sequentializations. In the three cases, the LSTM predictor cannot on its own en- sure the grammaticality of the predicted sequence, so that some sequences do not lead to well-formed LFs. However, in the ...
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Diabetic prediction using fuzzy back propagation and analysis
... The study of standard ANN goes back to 1980s by Frank Rosenblatt (1958) who developed first perceptron algorithms and the outcome of the study was used to develop smart automated software and systems. Later on it became ...
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Bayesian analysis and prediction of hybrid performance
... Traditionally, in the literature of hybrid prediction, the total genetic variance and its components (GCA and SCA) have been derived directly from variance parameters [18, 22, 38]. For instance, for multi-kernel ...
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Cancer Prediction and Prognosis Using Machine Learning Techniques
... cancer prediction. A research has been done on the recurrence prediction of oral squamous cell carcinoma (OSCC) is proposed and they used classification algorithms for oral cancer reoccurrence ...
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Genetic parameters prediction (REML/BLUP) for morphological, physical-chemical, phytochemical, and mineral components of primocane-fruiting raspberries
... Genetics and Molecular Research 18 (2): gmr18254 ©FUNPEC-RP www.funpecrp.com.br Genetic prediction of raspberry traits 3 The experiment was carried out from Nov 2013 to Dec 2014, in Pelotas, Rio Grande do Sul, ...
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Prediction and optimization of heat input on mild steel weldments
... Findings From the study, the following are the findings: Results of the sequential sum of square , revealed that the quadratic model is suitable to model the experimental data collecte[r] ...
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Immunoinformatics Approach Identified Two Highly Conserved B and T Cell Epitopes, LEASKRWAF and DSPLEASKRWAFRTG, for Effective Vaccine Design against Ebola and Marburg Viruses
... T cell epitope is expressed on antigen presenting cell bound with Major Histocompatibility Complex (MHC) to initiate T cell immune response. IEDB analysis resource provides several tools to predict T cell epitope ...
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Configural frequency analysis as a method of determining patients' preferred decision-making roles in dialysis
... a prediction CFA was performed as cross- validation by way of the inferential verification (with a- adjustment [48]) of the types identified in the explora- tory analysis (Figure ...
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Increasing Employability and Livelihood of Entirely Paralyzed People using ACAT(Assistive Context Aware Toolkit)
... ACAT is useful for Microsoft Windows developers who are interested in developing assistive technologies to people with ALS or similar disabilities. Also for researchers who are working on new user interfaces, new sensing ...
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