Sökning: "MapReduce"

Hittade 4 avhandlingar innehållade ordet MapReduce.

  1. 1. Algorithmic discovery, development and personalized selection of higher-order drug cocktails : A label-free live-cell imaging & secretomics approach

    Författare :Efthymia Chantzi; Mats G Gustafsson; Ulf Hammerling; Andreas Bender; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; drug combination discovery and development; personalized pharmacotherapy; higher-order drug combination analysis; quantitative label-free live-cell imaging; secretomics; cell-cell communication; deep learning; convolutional neural networks; data mining; MapReduce; resampling; generalized highest single agent; COMBImageDL; COMBSecretomics; Bioinformatics; Bioinformatik; Pharmacology; Farmakologi; Engineering Science; Teknisk fysik;

    Sammanfattning : An upward trend in clinical pharmacology is the use of multiple drugs to combat complex and co-occurring diseases due to better efficacy, decreased toxicity and reduced risk of evolving resistance. Despite high late-stage attrition rates and the need for multi drug treatments, most drug discovery and development efforts are still mainly focused on new one-size-fits-all monotherapies. LÄS MER

  3. 2. Enabling Scalable Data Analysis on Cloud Resources with Applications in Life Science

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

    Sammanfattning : 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. LÄS MER

  4. 3. Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning

    Författare :Zainab Abbas; Vladimir Vlassov; Peter Van Roy; Paris Carbone; Vasiliki Kalavri; Vincenzo Massimiliano Gulisano; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Stream processing; graph processing; time series; big data; machine learning; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : Recent years have witnessed a massive increase in the amount of data generated by the Internet of Things (IoT) and social media. Processing huge amounts of this data poses non-trivial challenges in terms of the hardware and performance requirements of modern-day applications. LÄS MER

  5. 4. Performance Optimization Techniques and Tools for Data-Intensive Computation Platforms : An Overview of Performance Limitations in Big Data Systems and Proposed Optimizations

    Författare :Vasiliki Kalavri; Vladimir Vlassov; Alberto Montresor; KTH; []
    Nyckelord :performance optimization; data-intensive computing; big data; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : Big data processing has recently gained a lot of attention both from academia and industry. The term refers to tools, methods, techniques and frameworks built to collect, store, process and analyze massive amounts of data. Big data can be structured, unstructured or semi-structured. LÄS MER