Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 11 of 11 for “"Gene function prediction"”.
-
Systems Uncertainty in Systems Biology & Gene Function Prediction
… to measure the entire complement of a cells genes or gene products has led to vast stores of data which are extremely plentiful in terms of the number of items they can measure in a single sample, yet often sparse in the number of samples per experiment due to their high cost. This often …
-
Applications of Machine Learning in Source Attribution and Gene Function Prediction
… using whole genome sequencing data, and (2) the functional annotation of genes using single- cell RNA sequencing data. This work proposes the development of a bioinformatics pipeline tailored for identifying genomic variants, including gene presence/absence and single nu- cleotide polymorphism. …
-
Hierarchical multi-label classification for protein function prediction going beyond traditional approaches
… that are in turn organized in a hierarchy. Functional classification of genes is a challenging problem in functional genomics due to several reasons. First, each gene participates in multiple biological activities. Hence, prediction models should support multi-label classification. Second, …
-
Reconstructing gene function and gene regulatory networks in prokaryotes
… a complex environment lies with the network of genetic interactions that process information regarding the state of the cell and its local environment. The object of this study has been to better understand bacterial genetic regulatory networks, which conceptually consist of nodes (the genes) …
-
Assessing the Role of Clusters Derived from Large Sequence Similarity Networks for Gene Function Predictions
… for biological experiments, computational predictions of gene functions can aid in reducing a large list of candidate genes to a few promising targets. Various computational solutions have been proposed and developed for gene function prediction. These solutions utilize various forms of …
-
Systems analysis of stress response in plants
… plants. We have developed and used integrative functional genomics approaches to characterize environmental stress response at various levels of organization including genes, modules and networks in Arabidopsis and rice. We have also applied these methods in problems concerning bioenergy. Since …
-
Leveraging knowledge networks for precision medicine
… and cell conditions, have also been massively generated and they are further refining our understanding of disease mechanisms. In addition, patient data, gathered by electronic medical record systems and social medias, complement biological data and pave the way for personalized treatment …
-
Annotating and characterizing orphan gene in Zea mays via diverse RNA-Seq data
… which I refer to "dark transcriptome". Some functional genes have been identified from this dark transcriptome. Most genes in the dark transcriptome are orphan genes. Orphan genes are the recently emerged young genes, which share no sequence similarity with proteins in any other species. In …
-
Development and Application of Network Algorithms for Prediction of Gene Function and Response to Viral Infection and Chemicals
… algorithm for network-based label prediction methods that enables the integration of functional annotations and interaction networks across many species in order to predict the functions of genes in newly-sequenced bacteria. 2. To overcome the limitations of experimental approaches …
-
Data Mining Algorithms for Classification of Complex Biomedical Data
… (2) Multi-label classification of gene and protein prediction from multi-source biological data; (3) Spatial scan for movement data. In microarray classification, samples belong to several predefined categories (e.g., cancer vs. control tissues) and the goal is to build a predictor …
-
GOGO: An Improved Algorithm to Measure the Semantic Similarity Between Gene Ontology Terms
<p>Measuring the semantic similarity between Gene Ontology (GO) terms is an essential step in functional bioinformatics research. We implemented a software named GOGO for calculating the semantic similarity between GO terms. GOGO has the advantages of both information-content-based and hybrid …