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  1. 3821
    por Mneimneh, Saad
    Publicado 2012
    “…A typical reader is, therefore, an instructional staff member or a student in a computational field (e.g., computer science, mathematics, statistics, computational biology, bioinformatics). …”
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    Crossing Over…Markov Meets Mendel
  2. 3822
    “…These peaks may be explainable by human experts but the scale of modern proteomics experiments makes this impractical. In computer science, Expert Systems are a mature technology to implement a list of rules generated by interviews with practitioners. …”
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    Expert System for Computer-assisted Annotation of MS/MS Spectra
  3. 3823
    “…However, in a multidisciplinary field such as medical informatics, interpreting the h-index is a challenge because researchers tend to have diverse home disciplines, ranging from clinical areas to computer science, basic science, and the social sciences, each with different publication performance profiles. …”
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    Two h-Index Benchmarks for Evaluating the Publication Performance of Medical Informatics Researchers
  4. 3824
    “…With Plurigon and its ability to analyze high-complexity data, we hope to see a unification of biomedical and computational sciences as well as practical applications in a wide array of scientific disciplines. …”
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    Plurigon: three dimensional visualization and classification of high-dimensionality data
  5. 3825
    “…Technological progress in computer science and neuroimaging has resulted in many approaches that aim to detect brain states and translate them to an external output. …”
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    Online Artículo Texto
    Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training
  6. 3826
    “…In addition, it brings some clarity on the topic of what role commercial software tutorials can have in CPT:PSP and how CPT:PSP tutorials differ from publications which describe the software itself, as those which can be found in other computer science journals. Finally, the discussion includes reproducibility considerations and the general use of commercial and noncommercial software in CPT:PSP publications. …”
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    Online Artículo Texto
    Pharmacometrics and Systems Pharmacology Software Tutorials and Use: Comments and Guidelines for PSP Contributions
  7. 3827
    “…METHODS: One hundred forty-six undergraduate medical students participated in a mandatory medical computer science course consisting of five seminars. At the end of each seminar, they worked on one VP case, either in teams of two or individually. …”
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    Online Artículo Texto
    Virtual patients: the influence of case design and teamwork on students’ perception and knowledge – a pilot study
  8. 3828
    “…The current paper elaborates how digital learning environments, which achieve this goal can be developed by combining approaches from Cognitive Psychology, Neuroscience, and Computer Science. One of the biggest obstacles that needs to be overcome is the lack of an unobtrusive method of continuously assessing learners' WML in real-time. …”
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    Online Artículo Texto
    Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach
  9. 3829
    “…Thought leaders from academia, government, and industry across disciplines—including clinical medicine, computer science, public health, informatics, biomedical research, health technology, statistics, and epidemiology—gathered and discussed the pitfalls and challenges of big data in health care. …”
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    Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference
  10. 3830
    “…We describe the formation of professional community norms from two key disciplines that contribute to the emergent field of Big Data: computer science and statistics. Historical analogies from these professions suggest strategies for introducing trainees and orienting practitioners both to ethical reasoning and to a code of professional conduct itself. …”
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    Using Ethical Reasoning to Amplify the Reach and Resonance of Professional Codes of Conduct in Training Big Data Scientists
  11. 3831
    “…We combined methods from computer science and statistics into the pipeline and incorporated methodologies developed in previous TCGA marker studies and in our own group. …”
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    TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data
  12. 3832
    “…ANIMO makes use of timed automata as an underlying model, thereby enabling analysis techniques from computer science like model checking. Biology experts are able to use ANIMO via a user interface specifically tailored for biological applications. …”
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    Modelling with ANIMO: between fuzzy logic and differential equations
  13. 3833
    “…BACKGROUND: The longest common subsequence (LCS) problem is a classical problem in computer science, and forms the basis of the current best-performing reference-based compression schemes for genome resequencing data. …”
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    A new algorithm for “the LCS problem” with application in compressing genome resequencing data
  14. 3834
    “…Gamification is a concept that arose in the field of computer science and has been borrowed by many other disciplines. …”
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    Online Artículo Texto
    Gamifying Self-Management of Chronic Illnesses: A Mixed-Methods Study
  15. 3835
    “…Finally, PC-corr is a general functional network inference approach that can be easily adopted for big data exploration in computer science and analysis of complex systems in physics.…”
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    Enlightening discriminative network functional modules behind Principal Component Analysis separation in differential-omic science studies
  16. 3836
    “…Proceedings of Pursuit of the Universal-12th conference on computability in Europe, CiE 2016, Lecture notes in computer science, vol 9709, Paris, France, June 27–July 1, 2016. …”
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    Algorithms for computing the double cut and join distance on both gene order and intergenic sizes
  17. 3837
    “…We illustrate the FPB in application to collaboration networks in statistics and computer science and to Wikipedia networks.…”
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    Online Artículo Texto
    Bootstrap quantification of estimation uncertainties in network degree distributions
  18. 3838
    “…Machine learning is a field of computer science that builds algorithms that learn. In many cases, machine learning algorithms are used to recreate a human ability like adding a caption to a photo, driving a car, or playing a game. …”
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    Using human brain activity to guide machine learning
  19. 3839
    “…Network science plays a central role in understanding and modeling complex systems in many areas including physics, sociology, biology, computer science, economics, politics, and neuroscience. …”
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    Community Detection in Complex Networks via Clique Conductance
  20. 3840
    “…In order to take advantage of this data, however, there is a need for general-purpose, user-friendly and efficient computational tools that can be readily used by biologists who do not have specialist computer science knowledge. RESULTS: The Single Cell Network Synthesis toolkit (SCNS) is a general-purpose computational tool for the reconstruction and analysis of executable models from single-cell gene expression data. …”
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    Online Artículo Texto
    SCNS: a graphical tool for reconstructing executable regulatory networks from single-cell genomic data
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