Sökning: "Network reduction"

Visar resultat 1 - 5 av 282 avhandlingar innehållade orden Network reduction.

  1. 1. Functional association networks for disease gene prediction

    Författare :Dimitri Guala; Erik L L Sonnhammer; Hjalmar Brismar; Yves Moreau; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; network biology; biological networks; network prediction; functional association; functional coupling; network integration; functional association networks; genome-wide association networks; gene networks; protein networks; fret; functional enrichment analysis; network cross-talk; pathway annotation; gene prioritisation; network-based gene prioritization; benchmarking; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

    Sammanfattning : Mapping of the human genome has been instrumental in understanding diseasescaused by changes in single genes. However, disease mechanisms involvingmultiple genes have proven to be much more elusive. Their complexityemerges from interactions of intracellular molecules and makes them immuneto the traditional reductionist approach. LÄS MER

  3. 2. Efficient reduction techniques for a large-scale Transmission Expansion Planning problem

    Författare :Quentin Ploussard; Luis Olmos; Andres Ramos; Efraim Centeno; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; energy; electricity; transmission expansion planning; linear programming; integer linear programming; relaxation methods; clustering; dimension reduction; network theory graphs ; partitioning algorithms; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : The aim of Transmission Expansion Planning (TEP) studies is to decide which, where, and when new grid elements should be built in order to minimize the total system cost. The lumpiness of the investment decisions, together with the large size of the problem, make the problem very hard to solve. LÄS MER

  4. 3. Neural Network Architecture Design : Towards Low-complexity and Scalable Solutions

    Författare :Alireza M. Javid; Saikat Chatterejee; Alexandros Iosifidis; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning :  Over the past few years, deep neural networks have been at the center of attention in machine learning literature thanks to the advances in computational capabilities of modern graphical processing units (GPUs). This progress has made it possible to train large scale neural networks by using thousands, and even millions, of training samples to achieve outstanding estimation accuracy in various applications that were not simply possible before. LÄS MER

  5. 4. Structured Ammonia Carriers for Selective Catalytic Reduction

    Författare :Zhejian Cao; Farid Akhtar; Andreas Kaiser; Peizhong Feng; Louise Olsson; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; ammonia; SCR; NOx; graphene network; zeolite; MOF; Engineering Materials; Materialteknik;

    Sammanfattning : Air quality has been one of the long-term focuses in society and has raised people’s concern regarding its amelioration in the post coronavirus disease 2019 (COVID-19) pandemic era. Nitrogen oxides (NOx), including NO and NO2, as one of the most harmful air pollutants, have been stringently monitored in most countries due to their devastating impact on the environment and human health. LÄS MER

  7. 5. Simplicity within Complexity : Understanding dynamics of cellular networks by model reduction

    Författare :Olivia Eriksson; Jesper Tegnér; Arne Elofsson; Yishao Zhou; Stefan Bornholdt; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; model reduction; cellular networks; dynamical modules; delayed piecewise linear; systems biology; Biochemistry; Biokemi; biokemi; Biochemistry;

    Sammanfattning : Cellular networks composed of interactions between genes, proteins and metabolites, determines the behavioural repertoire of the cell. Recent developments in high-throughput experimental techniques and computational methods allow static descriptions of these networks on a genome scale. LÄS MER