AIMC Topic: Models, Genetic
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State Estimation for Delayed Genetic Regulatory Networks With Reaction-Diffusion Terms.
IEEE transactions on neural networks and learning systems
Nov 14, 2016
This paper addresses the problem of state estimation for delayed genetic regulatory networks (DGRNs) with reaction-diffusion terms using Dirichlet boundary conditions. The nonlinear regulation function of DGRNs is assumed to exhibit the Hill form. Th...
Semi-supervised learning for genomic prediction of novel traits with small reference populations: an application to residual feed intake in dairy cattle.
Genetics, selection, evolution : GSE
Nov 7, 2016
BACKGROUND: Genomic prediction for novel traits, which can be costly and labor-intensive to measure, is often hampered by low accuracy due to the limited size of the reference population. As an option to improve prediction accuracy, we introduced a s...
A recurrence model for laryngeal cancer based on SVM and gene function clustering.
Acta oto-laryngologica
Nov 4, 2016
CONCLUSION: A prognostic model was obtained for LC. Several critical genes were unveiled. They could be potentially applied for LC recurrence prediction.
Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data.
IEEE/ACM transactions on computational biology and bioinformatics
Oct 7, 2016
Characterizing genes with semantic information is an important process regarding the description of gene products. In spite that complete genomes of many organisms have been already sequenced, the biological functions of all of their genes are still ...
Boolean regulatory network reconstruction using literature based knowledge with a genetic algorithm optimization method.
BMC bioinformatics
Oct 6, 2016
BACKGROUND: Prior knowledge networks (PKNs) provide a framework for the development of computational biological models, including Boolean models of regulatory networks which are the focus of this work. PKNs are created by a painstaking process of lit...
Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.
Medical & biological engineering & computing
Oct 3, 2016
Lung cancer is the major cause of death among patients with cancer worldwide. This work is intended to develop a methodology for the diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resource Initiative (LID...
Radiographic Image Interpretation, Computer-Assisted
Pattern Recognition, Automated
Radiographic Image Enhancement
Models, Genetic
Support Vector Machine
Solitary Pulmonary Nodule
Algorithms
Tomography, X-Ray Computed
Female
Male
Middle Aged
Reproducibility of Results
Sensitivity and Specificity
Humans
A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes.
Artificial intelligence in medicine
Sep 30, 2016
OBJECTIVE: Evolutionary algorithms could overcome the computational limitations for the statistical evaluation of large datasets for high-order single nucleotide polymorphism (SNP) barcodes. Previous studies have proposed several chaotic particle swa...
Unsupervised detection of cancer driver mutations with parsimony-guided learning.
Nature genetics
Sep 12, 2016
Methods are needed to reliably prioritize biologically active driver mutations over inactive passengers in high-throughput sequencing cancer data sets. We present ParsSNP, an unsupervised functional impact predictor that is guided by parsimony. ParsS...
A Novel Hybrid Clonal Selection Algorithm with Combinatorial Recombination and Modified Hypermutation Operators for Global Optimization.
Computational intelligence and neuroscience
Sep 8, 2016
Artificial immune system is one of the most recently introduced intelligence methods which was inspired by biological immune system. Most immune system inspired algorithms are based on the clonal selection principle, known as clonal selection algorit...
Mycofier: a new machine learning-based classifier for fungal ITS sequences.
BMC research notes
Aug 11, 2016
BACKGROUND: The taxonomic and phylogenetic classification based on sequence analysis of the ITS1 genomic region has become a crucial component of fungal ecology and diversity studies. Nowadays, there is no accurate alignment-free classification tool ...
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