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Showing 1 - 20 results of 562 for search '(("future improvements") OR ((("program implementingededingededed") OR ("program implementing"))))', query time: 0.42s Refine Results
  1. 1
    Gaussian Mixture Models of DNA Fragments for Actual Mode II Pathogen Typing at the SNV Level.

    Gaussian Mixture Models of DNA Fragments for Actual Mode II Pathogen Typing at the SNV Level. by Allison H. Squires (825694)

    Published 2015
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  2. 2
    Two Principal Modes for Nanopore Discrimination of Pathogen Genomic Variation.

    Two Principal Modes for Nanopore Discrimination of Pathogen Genomic Variation. by Allison H. Squires (825694)

    Published 2015
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  3. 3
    Gaussian Mixture Models for Mode II Classification of 1000 bp vs. 900+100 bp DNA Fragments.

    Gaussian Mixture Models for Mode II Classification of 1000 bp vs. 900+100 bp DNA Fragments. by Allison H. Squires (825694)

    Published 2015
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  4. 4
    Translocation Event Diagrams Uniquely Identify DNA Fragment Lengths in a Single Nanopore.

    Translocation Event Diagrams Uniquely Identify DNA Fragment Lengths in a Single Nanopore. by Allison H. Squires (825694)

    Published 2015
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  5. 5
    Supporting Information and Figures.

    Supporting Information and Figures. by Allison H. Squires (825694)

    Published 2015
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  6. 6
    Solving the RNA design problem with reinforcement learning - Fig 2

    Solving the RNA design problem with reinforcement learning - Fig 2 by Peter Eastman (1302528)

    Published 2018
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  7. 7
    Puzzles in the Eterna100 benchmark.

    Puzzles in the Eterna100 benchmark. by Peter Eastman (1302528)

    Published 2018
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  8. 8
    Solving the RNA design problem with reinforcement learning - Fig 3

    Solving the RNA design problem with reinforcement learning - Fig 3 by Peter Eastman (1302528)

    Published 2018
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  9. 9
    Solving the RNA design problem with reinforcement learning

    Solving the RNA design problem with reinforcement learning by Peter Eastman (1302528)

    Published 2018
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  10. 10
    The architecture of the policy network.

    The architecture of the policy network. by Peter Eastman (1302528)

    Published 2018
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  11. 11
    Identification of studies.

    Identification of studies. by Sarah L. Gorst (846429)

    Published 2016
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  12. 12
    COS developer responses to ‘If I had known then what I do now, what would I have done differently?’.

    COS developer responses to ‘If I had known then what I do now, what would I have done differently?’. by Sarah L. Gorst (846429)

    Published 2016
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  13. 13
    Patient participation detail where reported (n = 8).

    Patient participation detail where reported (n = 8). by Sarah L. Gorst (846429)

    Published 2016
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  14. 14
    The scope of included studies (n = 249).

    The scope of included studies (n = 249). by Sarah L. Gorst (846429)

    Published 2016
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  15. 15
    Choosing Important Health Outcomes for Comparative Effectiveness Research: An Updated Review and Identification of Gaps

    Choosing Important Health Outcomes for Comparative Effectiveness Research: An Updated Review and Identification of Gaps by Sarah L. Gorst (846429)

    Published 2016
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  16. 16
    The methods used to develop core outcome sets (n = 249).

    The methods used to develop core outcome sets (n = 249). by Sarah L. Gorst (846429)

    Published 2016
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  17. 17
    Year of first publication of each COS study (n = 249).

    Year of first publication of each COS study (n = 249). by Sarah L. Gorst (846429)

    Published 2016
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  18. 18
    GIS-Based Regionalized Life Cycle Assessment: How Big Is Small Enough? Methodology and Case Study of Electricity Generation

    GIS-Based Regionalized Life Cycle Assessment: How Big Is Small Enough? Methodology and Case Study of Electricity Generation by Christopher L. Mutel (1299423)

    Published 2016
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  19. 19
    Sample organizational network with nodes colored by department.

    Sample organizational network with nodes colored by department. by Thomas W. Valente (760722)

    Published 2015
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  20. 20
    Network with nodes colored by their groups based on a community detection algorithm.

    Network with nodes colored by their groups based on a community detection algorithm. by Thomas W. Valente (760722)

    Published 2015
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