Functional gene-based methods
GOToolBox: functional analysis of gene datasets based on Gene Ontology
... different methods for P-value calculation, we have implemented these methods in the GO-Stats module of GOToolBox, excepted the Chi- square test for reasons explained ...the methods without having to ...
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Functional group based linkage analysis of gene expression trait loci
... We first grouped mRNA transcripts according to their functions annotated in biological process of gene ontology (GO). We then compared using sample average, principal-components analysis (PCA), and linear ...
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Evidence-based gene models for structural and functional annotations of the oil palm genome
... Accurate gene prediction is one of the most important challenges in computational biology, as the prediction quality affects all aspects of genomics ...quality gene annotations for oil ...for gene ...
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Statistical Methods for Gene-gene Interaction: Detections and Classifications.
... Assessing gene-gene interactions (GxG) at gene level can examine epistasis at biologically functional units with amplified interaction signals from marker-marker ...Current ...
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An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods
... integration methods and in Sec- tion 2.5 the gene prioritization methods used in our experiments are ...the gene prioritization methods to the single functional networks are ...
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Current Progress in Gene Delivery Technology Based on Chemical Methods and Nano-carriers
... Current gene transfection systems contain three major groups: viral (transduction), physical (direct micro injection) and chemical ...the gene transfer technique was envisioned to transform cells utilizing ...
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GeoChip-Based Analysis of Microbial Functional Gene Diversity in a Landfill Leachate-Contaminated Aquifer
... Many methods have been used to investigate the microbial biodiversity of ...the functional diversity and metabolic potential of land fi ll leachate-contami- nated microbial ...Recently, functional ...
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An effective virus-based gene silencing method for functional genomics studies in common bean
... a gene gun [27,38] seems unnecessary considering the stability of our vector and the need to use transcripts only once for ...inoculation methods become available for soybean and common bean, the transcript ...
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Functional SNPs within Exons and 3-untranslated regions of PAH gene associated with Phenylketonuria: using bioinformatics methods
... bioinformatics methods (SNPs), and many human SNPs are believed to cause phenotypic differences between ...PAH gene, comprehensive analysis were done to filtrate deleterious from benign nsSNPs at both ...
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Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks
... the gene-gene interactions for a wide range of phe- notypes or ...assigned based on current knowledge but many change as new scientific discoveries are made, and that categories are sometimes subsets ...
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Functional quantization-based stratified sampling methods
... Since the early 2000’s, the infinite-dimensional setting has been extensively investigated from both the- oretical and numerical viewpoints with a special attention paid to functional quantization [18, 25]. Bi- ...
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Robustness of Random Forest-based gene selection methods
... Next, all investigated methods were tested by the analy- sis of post-selection error made by a classifier trained on a set reduced to the selected genes. For this purpose, for each bootstrap iteration, a Random ...
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Gene set based ensemble methods for cancer classification
... SVMs are a relatively new model for learning linear decision surfaces. Although neural networks and decision trees are efficient at learning non-linear surfaces, they generally have many more parameters that have to be ...
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Resampling-based tests of functional categories in gene expression studies
... i-th gene in the j-th sample is x ij ...i-th gene, the row vector that corresponds is given as x i ∗ , and for the j-th sample, the column vector is written as x ∗ j ...single gene might be ...
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Gene name Functional
... 1. Functional and Gene Ontology Terms associated with the differentially expressed genes between Scnn1b-Tg and WT whole lung as outlined in main text Table ...4. Functional categories are ...
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Baryons with functional methods
... Abstract. We summarise recent results on the spectrum of ground-state and excited baryons and their form factors in the framework of functional methods. As an improvement upon similar approaches we ...
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Investigating “Gene Ontology”- based semantic similarity in the context of functional genomics
... designed based on the assumption that thresholds (semantic and functional) would be sufficient to create fairly discrete ...related gene products are often related on multiple features, either in the ...
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Methods in functional data analysis and functional genomics
... the functional pre- diction of genetic variation in specific cell types and tissues using histone modification and DNase data from the ENCODE and Roadmap Epigenomics projects, and have provided comparisons with ...
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Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences
... might change between different environments. None- theless, a contemporary concern for the conservation of biodiversity and the development of management strat- egies is that decision makers require quantitative mea- ...
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Performance Evaluation of Gene based Ontology Using Attribute Selection Methods
... classification methods like Naïve Bayes, 1-Nearest Neighbour, it gives less ...selection methods are proposed which uses the Support Vector Machine (SVM) algorithm to organize the senescence-related ...
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