Global Gene Expression Analysis with genetic Programming
نویسنده
چکیده
Computer-assisted methods have become very important in analyzing biosequence data. However, most of the current methods are limited to nding motifs only. Genes can be regulated in many ways, including combinations of regulatory elements. This research is aimed at combinatorial motif analysis and hypothesis generation. A genome-wide gene expression analysis demonstrated the value of the studies of motif combinations and classication hypotheses.
منابع مشابه
Genetic Programming Based Formulation to Predict Compressive Strength of High Strength Concrete
This study introduces, two models based on Gene Expression Programming (GEP) to predict compressive strength of high strength concrete (HSC). Composition of HSC was assumed simplified, as a mixture of six components (cement, silica fume, super-plastisizer, water, fine aggregate and coarse aggregate). The 28-day compressive strength value was considered the target of the prediction. Data on 159...
متن کاملModification of the Fast Global K-means Using a Fuzzy Relation with Application in Microarray Data Analysis
Recognizing genes with distinctive expression levels can help in prevention, diagnosis and treatment of the diseases at the genomic level. In this paper, fast Global k-means (fast GKM) is developed for clustering the gene expression datasets. Fast GKM is a significant improvement of the k-means clustering method. It is an incremental clustering method which starts with one cluster. Iteratively ...
متن کاملGlobal gene expression analysis using microarray to study differential vulnerability to neurodegeneration
Neurodegenerative disorders such as Parkinson’s disease, motor neuron disease and Alzheimer’s disease is characterized by loss of specific cells within certain regions of the brain. One of the most compelling questions is to determine why specific cell populations are vulnerable to neurodegeneration. We addressed this question by studying global gene expression changes using an animal model of ...
متن کاملGlobal gene expression analysis using microarray to study differential vulnerability to neurodegeneration
Neurodegenerative disorders such as Parkinson’s disease, motor neuron disease and Alzheimer’s disease is characterized by loss of specific cells within certain regions of the brain. One of the most compelling questions is to determine why specific cell populations are vulnerable to neurodegeneration. We addressed this question by studying global gene expression changes using an animal model of ...
متن کاملA Method for Solving Optimal Control Problems Using Genetic Programming
This paper deals with a novel method for solving optimal control problems based on genetic programming. This approach produces some trial solutions and seeks the best of them. If the solution cannot be expressed in a closed analytical form then our method produces an approximation with a controlled level of accuracy. Using numerical examples, we will demonstrate how to use the results.
متن کاملGenetic polymorphism and expression analysis of cMBL gene in Iranian native and commercial chickens
The aims of this study were to compare the promoter sequence of the mannose-binding lectin (cMBL) gene in Iranian native and commercial chicken strains; as well as to compare the cMBL gene expression in crossbred and inbred chickens. In total 79 native (Western Azerbaijan native fowls, WANF) and 49 commercial (Arian Commercial Strain, ACS) birds were reared as parents under same management prac...
متن کامل