Sökning: "feature-selection"

Visar resultat 1 - 5 av 40 avhandlingar innehållade ordet feature-selection.

  1. 1. Statistical Feature Selection : With Applications in Life Science

    Författare :Roland Nilsson; Jesper Tegnér; Johan Björkegren; Sepp Hochreiter; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; supervised learning; classification; dimemsionality reduction; multiple testing; gene expression; microarray; cancer; Bioinformatics; Bioinformatik;

    Sammanfattning : The sequencing of the human genome has changed life science research in many ways. Novel measurement technologies such as microarray expression analysis, genome-wide SNP typing and mass spectrometry are now producing experimental data of extremely high dimensions. LÄS MER

  3. 2. Improving Image Classification Performance using Joint Feature Selection

    Författare :Heydar Maboudi Afkham; Stefan Carlsson; Josef Kittler; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Image Classification; Latent Variable Models; Computer Science; Datalogi;

    Sammanfattning : In this thesis, we focus on the problem of image classification and investigate how its performance can be systematically improved. Improving the performance of different computer vision methods has been the subject of many studies. LÄS MER

  4. 3. Rule-Based Approaches for Large Biological Datasets Analysis : A Suite of Tools and Methods

    Författare :Marcin Kruczyk; Jan Komorowski; Joaquin Dopazo; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rough sets; peak finding; gliomas; Alzheimer disease; STAT3; machine learning; feature selection; next generation sequencing;

    Sammanfattning : This thesis is about new and improved computational methods to analyze complex biological data produced by advanced biotechnologies. Such data is not only very large but it also is characterized by very high numbers of features. LÄS MER

  5. 4. Rule-based Models of Transcriptional Regulation and Complex Diseases : Applications and Development

    Författare :Susanne Bornelöv; Jan Komorowski; Claes Wadelius; Joanna Polanska; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Histone modification; Transcription factor; Transcriptional regulation; Next-generation sequencing; Feature selection; Machine learning; Rule-based classification; Asthma; Allergy; Bioinformatik; Bioinformatics;

    Sammanfattning : As we gain increased understanding of genetic disorders and gene regulation more focus has turned towards complex interactions. Combinations of genes or gene and environmental factors have been suggested to explain the missing heritability behind complex diseases. LÄS MER

  7. 5. From Physicochemical Features to Interdependency Networks : A Monte Carlo Approach to Modeling HIV-1 Resistome and Post-translational Modifications

    Författare :Marcin Kierczak; Jan Komorowski; Anna Tramontano; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; HIV-1; resistome analysis; drug resistance; predicting PTMs; molecular interdependency networks; MCFS-ID; feature selection; interactome; machine-learning; rough sets; Bioinformatics; Bioinformatik; Computer Science; datavetenskap; Biology; with specialization in structural biology; biologi; med inriktning mot strukturbiologi;

    Sammanfattning : The availability of new technologies supplied life scientists with large amounts of experimental data. The data sets are large not only in terms of the number of observations, but also in terms of the number of recorded features. LÄS MER