Search for dissertations about: "ola spjuth"

Showing result 1 - 5 of 12 swedish dissertations containing the words ola spjuth.

2. 1. Bioclipse : Integration of Data and Software in the Life Sciences

   Author : Ola Spjuth; Jarl Wikberg; Mark Wilkinsson; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bioclipse; integration; life sciences; bioinformatics; cheminformatics; chemoinformatics; eclipse; rich client; xmpp; qsar-ml; web service; standard; ontology; Bioinformatics; Bioinformatik;

   Abstract : New high throughput experimental techniques have turned the life sciences into a data-intensive field. Scientists are faced with new types of problems, such as managing voluminous sources of information, integrating heterogeneous data, and applying the proper analysis algorithms; all to end up with reliable conclusions. READ MORE

4. 2. Scalable Analysis of Large Datasets in Life Sciences

   Author : Laeeq Ahmed; Erwin Laure; Ola Spjuth; Ake Edlund; Vincent Breton; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Big Data; Apache Spark; Virtual Screening; EEG; Cloud Computing; Life Sciences; Machine Learning; Computer Science; Datalogi;

   Abstract : We are experiencing a deluge of data in all fields of scientific and business research, particularly in the life sciences, due to the development of better instrumentation and the rapid advancements that have occurred in information technology in recent times. There are major challenges when it comes to handling such large amounts of data. READ MORE

5. 3. Ligand-based Methods for Data Management and Modelling

   Author : Jonathan Alvarsson; Jarl E. S. Wikberg; Ola Spjuth; Claes Andersson; Martin Eklund; John P. Overington; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; QSAR; ligand-based drug discovery; bioclipse; information system; cheminformatics; bioinformatics; Farmaceutisk farmakologi; Pharmaceutical Pharmacology; Bioinformatik; Bioinformatics;

   Abstract : Drug discovery is a complicated and expensive process in the billion dollar range. One way of making the drug development process more efficient is better information handling, modelling and visualisation. The majority of todays drugs are small molecules, which interact with drug targets to cause an effect. READ MORE

6. 4. Confidence Predictions in Pharmaceutical Sciences

   Author : Staffan Arvidsson McShane; Ola Spjuth; Wesley Schaal; Lars Carlsson; Ernst Ahlberg; Stefan Kramer; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; machine learning; QSAR; Conformal prediction; Venn-ABERS; Probabilistic machine learning; Machine learning; Maskininlärning; Farmaceutisk vetenskap; Pharmaceutical Science;

   Abstract : The main focus of this thesis has been on Quantitative Structure Activity Relationship (QSAR) modeling using methods producing valid measures of uncertainty. The goal of QSAR is to prospectively predict the outcome from assays, such as ADMET (Absorption, Distribution, Metabolism, Excretion), toxicity and on- and off-target interactions, for novel compounds. READ MORE

7. 5. Enabling Scalable Data Analysis on Cloud Resources with Applications in Life Science

   Author : Marco Capuccini; Ola Spjuth; Johan Tordsson; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; cloud computing; bioinformatics; Big Data; microservices; containers; MapReduce; Scientific Computing; Beräkningsvetenskap;

   Abstract : Over the past 20 years, the rise of high-throughput methods in life science has enabled research laboratories to produce massive datasets of biological interest. When dealing with this "data deluge" of modern biology researchers encounter two major challenges: first, there is a need for substantial technical skills for dealing with Big Data and; second, infrastructure procurement becomes difficult. READ MORE