Genomic and pedigree predictions for grain yield and agronomic traits were carried out using high density molecular data on a set of 803 spring wheat lines that were evaluated in 5 sites characterized by several environmental co-variables. Seven statistical models were tested using two random cross-validations schemes. Two other prediction problems were studied, namely predicting the lines' per...

The aim of this study was to predict the beef carcass and LM (thoracis part) characteristics and the sensory properties of the LM from rearing factors applied during the fattening period. Individual data from 995 animals (688 young bulls and 307 cull cows) in 15 experiments were used to establish prediction models. The data concerned rearing factors (13 variables), carcass characteristics (5 va...

In the present paper, informatics-aided quantitative structure activity relationship (QSAR) models using genetic algorithm-partial least square (GA-PLS), genetic algorithm-Kernel partial least square (KPLS), and Levenberg-Marquardt artificial neural network (LM ANN) approach were constructed to access the antimalarial activity (pIC50) of 2,5-diaminobenzophenone derivatives. Comparison of errors...

Recent genome science has been developing from two sides: one is biological evolution due to mutation of DNA sequence and the other is biological function of protein molecules formed according to amino acid sequences. We have devoted ourselves to elucidate the mechanism of protein folding, and to develop the method for protein structure prediction [1, 2]. Our method has successfully yielded the...

Determining protein-protein interaction (PPI) in biological systems is of considerable importance, and prediction of PPI has become a popular research area. Although different classifiers have been developed for PPI prediction, no single classifier seems to be able to predict PPI with high confidence. We postulated that by combining individual classifiers the accuracy of PPI prediction could be...

Since the proposal of domain based protein-protein interaction prediction method by [3], there are many attempts to improve domain based protein-protein interaction prediction methods [1]. Among them, domain combination based protein-protein interaction method by [2] is quite appealing in the sense that it achieves very impressive prediction accuracy in some situations. However there is no conc...

hydraulic attributes play important role in hydrological studies, soil conservation, designing irrigation and drainage systems, soil conservation, and controlling soil erosion in watersheds. their measurements are very tedious and time consuming and due to high spatial variability, a large number of measurements are required for obtaining reliable values. nowadays, prediction of these attribute...

Domain Combination based Protein-Protein Interaction Prediction (DCPPIP) method is revealed to show outstanding prediction accuracy in Yeast proteins. However, it is not yet apparent whether the method is still valid and can achieve comparable prediction accuracy for the proteins in other species. In this paper, we report the validation results of applying the DCPPIP method for Fly and Human pr...

milk ultrafiltration is a membrane process, which is highly complex innature. the cost effectiveness of the process depends heavily on the flux permeate and the total hydraulic resistance of the membrane. in this work, a comparative study for the prediction of the performance of milk ultrafiltration with ann and statistical method has been carried out. the result reveals that both methods carry...