Sökning: "pathway enrichment analysis"

Visar resultat 1 - 5 av 38 avhandlingar innehållade orden pathway enrichment analysis.

1. 1. Pathway analysis: methods and perspectives

   Författare :Gustavo Stolf Jeuken; Lukas Käll; Mika Gustafsson; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; pathway analysis; mutual information; survival analysis; enrichment analysis; transcriptomics.; Biotechnology; Bioteknologi;

   Sammanfattning : The amount of data being generated by high throughput molecular biology experiments grows every day, both in quantity and quality. With this comes the desire to have more powerful and comprehensive methods for statistical analysis that have been developed with the nature of this data in mind. LÄS MER

3. 2. Global functional association network inference and crosstalk analysis for pathway annotation

   Författare :Christoph Ogris; Erik Sonnhammer; Alfonso Valencia; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; biological networks; genome wide functional association networks; global gene association networks; gene networks; protein networks; functional association; functional coupling; network biology pathway analysis; pathway annotation; pathway enrichment; network-based enrichment; enrichment; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Sammanfattning : Cell functions are steered by complex interactions of gene products, like forming a temporary or stable complex, altering gene expression or catalyzing a reaction. Mapping these interactions is the key in understanding biological processes and therefore is the focus of numerous experiments and studies. LÄS MER

4. 3. From networks to pathway analysis

   Författare :Miguel Castresana Aguirre; Erik Sonnhammer; Alfonso Valencia; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Sammanfattning : Biological mechanisms stem from complex intracellular interactions spanning across different levels of regulation. Mapping these interactions is fundamental for the understanding of all types of biological conditions, including complex diseases. Each experimental approach carries its own bias and noise. LÄS MER

5. 4. Probalistic Methods In Genomic Data Analysis

   Författare :Thomas Breslin; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; pathway profiling; Bioinformatics; medical informatics; biomathematics biometrics; Bioinformatik; medicinsk informatik; differential gene expression; probabilistic methods; Natural science; Naturvetenskap; biomatematik; annotation analysis; microarray; Fysicumarkivet A:2004:Breslin;

   Sammanfattning : In this thesis, three aspects of gene expression data analysis are discussed: Differential gene expression is addressed by a probabilistic method. Gene annotation enrichment analysis is discussed in the context of multiple hypothesis testing and the choice of null hypothesis. LÄS MER

7. 5. Big data networks and orthology analysis

   Författare :Emma Persson; Erik Sonnhammer; Albert László Barabási; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Ortholog; protein domain; functional association network; pathway enrichment analysis; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

   Sammanfattning : Understanding biological systems in complex organisms is important in life science in order to comprehend the interplay of genes, proteins, and compounds causing complex diseases. As biological systems are intricate, bioinformatics tools, models, and algorithms are of the utmost importance to understand the bigger picture and decipher biological meaning from the vast amounts of information available from biological experiments and predictions. LÄS MER