Sökning: "False discovery rate"

Visar resultat 1 - 5 av 13 avhandlingar innehållade orden False discovery rate.

1. 1. Statistical analysis of metagenomic data

   Författare :Viktor Jonsson; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Metagenomics; Statistical methods; Hierarchical Bayesian models; Statistical power; False discovery rate; Environmental genomics; Generalized linear models; Count data; Environmental genomics;

   Sammanfattning : Metagenomics is the study of microbial communities on the genome level by direct sequencing of environmental and clinical samples. Recently developed DNA sequencing technologies have made metagenomics widely applicable and the field is growing rapidly. LÄS MER

3. 2. Extreme Value Analysis of Huge Datasets: Tail Estimation Methods in High-Throughput Screening and Bioinformatics

   Författare :Dmitrii Zholud; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Extreme Value Statistics; High-Throughput Screening; HTS; Bioinformatics; analysis of huge datasets; quality control; correction of theoretical p-values; comparison of pre-processing methods; SmartTail; estimation of False Discovery Rates; test power; distribution tail; high level excursions; quantile estimation; multiple testing; Student t−test; Welch statistic; small sample sizes; F−test; Wiener process; Gaussian random walk; Shepp statistic; limit theorems; exotic options.; estimation of False Discovery Rates;

   Sammanfattning : This thesis presents results in Extreme Value Theory with applications to High-Throughput Screening and Bioinformatics. The methods described here, however, are applicable to statistical analysis of huge datasets in general. The main results are covered in four papers. LÄS MER

4. 3. In silico prediction of CIS-regulatory elements

   Författare :Albin Sandelin; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :Transcriptional regulation; transcription factor binding sites; phylogenetic footprinting; pattern finding; pattern comparison;

   Sammanfattning : As one of the most fundamental processes for all life forms, transcriptional regulation remains an intriguing and challenging subject for biomedical research. Experimental efforts towards understanding the regulation of genes is laborious and expensive, but can be substantially accelerated with the use of computational predictions. LÄS MER

5. 4. Resampling in network modeling of high-dimensional genomic data

   Författare :Jonatan Kallus; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; high-dimensional data; sparsity; model selection; bootstrap; genomics; graphical modeling;

   Sammanfattning : Network modeling is an effective approach for the interpretation of high-dimensional data sets for which a sparse dependence structure can be assumed. Genomic data is a challenging and important example. In genomics, network modeling aids the discovery of biological mechanistic relationships and therapeutic targets. LÄS MER

7. 5. Selectivity in NMR and LC-MS Metabolomics : The Importance of Sample Preparation and Separation, and how to Measure Selectivity in LC-MS Metabolomics

   Författare :Albert Elmsjö; Curt Pettersson; Torbjörn Arvidsson; Thomas Moritz; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Metabolomics; NMR; LC-MS; HILIC; UHPLC; Q-ToF; selectivity; co-feature ratio; method evaluation; data evaluation; Analytical Pharmaceutical Chemistry; Analytisk farmaceutisk kemi;

   Sammanfattning : Until now, most metabolomics protocols have been optimized towards high sample throughput and high metabolite coverage, parameters considered to be highly important for identifying influenced biological pathways and to generate as many potential biomarkers as possible. From an analytical point of view this can be troubling, as neither sample throughput nor the number of signals relates to actual quality of the detected signals/metabolites. LÄS MER