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  1. 1161
    por Schuster, Viktoria, Krogh, Anders
    Publicado 2023
    “…AVAILABILITY AND IMPLEMENTATION: scDGD is available as a python package at https://github.com/Center-for-Health-Data-Science/scDGD. The remaining code is made available here: https://github.com/Center-for-Health-Data-Science/dgd.…”
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    The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data
  2. 1162
    por Monks, Thomas, Harper, Alison
    Publicado 2023
    “…We then provide a step-by-step tutorial for linking the model to a streamlit web app interface, to enable other health data science researchers to reproduce and implement our method.…”
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    Online Artículo Texto
    Improving the usability of open health service delivery simulation models using Python and web apps
  3. 1163
    por Busby, Ben, Lesko, Matthew, Federer, Lisa
    Publicado 2016
    “…In genomics, bioinformatics and other areas of data science, gaps exist between extant public datasets and the open-source software tools built by the community to analyze similar data types.  …”
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    Online Artículo Texto
    Closing gaps between open software and public data in a hackathon setting: User-centered software prototyping
  4. 1164
    “…Recent progress in the field of sequencing and analysis has led to a tremendous spike in data and the development of data science tools. One of the outcomes of this scientific progress is development of numerous databases which are gaining popularity in all disciplines of biology including sericulture. …”
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    Online Artículo Texto
    A comprehensive view of the web-resources related to sericulture
  5. 1165
    “…First, we explore the overlap between the fields of quantitative reasoning, data science, and data literacy, specifically focusing on how data literacy results from practicing quantitative reasoning and data science in the context of authentic data. …”
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    Online Artículo Texto
    Getting Messy with Authentic Data: Exploring the Potential of Using Data from Scientific Research to Support Student Data Literacy
  6. 1166
    “…Various approaches based on both computational science and data science/machine learning have been proposed with the development of observation systems and network technologies. …”
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    Data-Driven Approach to Inversion Analysis of Three-Dimensional Inner Soil Structure via Wave Propagation Analysis
  7. 1167
    “…At the heart of the technological challenge is data science applied to environmental data. The aim of this special publication is the focus on big data science for food, energy, and water systems (FEWSs). …”
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    Online Artículo Texto
    Leveraging Big Data and Analytics to Improve Food, Energy, and Water System Sustainability
  8. 1168
    Publicado 2021
    “…We believe this study and corpus cannot only facilitate the ongoing research on using data science to fight against COVID-19, but also the monitoring of contagious diseases for general purpose.…”
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    Computer Audition for Fighting the SARS-CoV-2 Corona Crisis—Introducing the Multitask Speech Corpus for COVID-19
  9. 1169
    por Rahman, Azizur
    Publicado 2020
    “…Written by leading international experts in the field of statistics, data science and policy evaluation. This book explores the theme of effective policy methods through the use of big data, accurate estimates and modern computing tools and statistical modelling.…”
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    Applied Statistics and Policy Analysis Conference 2019
  10. 1170
    “…This study presents a data science driven unbiased genome-wide search for the selection of reference genes by assessing variation of > 50,000 genes in a publicly available RNA-seq dataset of cotton species Gossypium hirsutum. …”
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    Online Artículo Texto
    Genome wide search to identify reference genes candidates for gene expression analysis in Gossypium hirsutum
  11. 1171
    “…OBJECTIV E: To summarise current evidence for the utility of interval imaging in monitoring disease in adult brain tumours, and to develop a position for future evidence gathering while incorporating the application of data science and health economics. METHODS: Experts in ‘interval imaging’ (imaging at pre-planned time-points to assess tumour status); data science; health economics, trial management of adult brain tumours, and patient representatives convened in London, UK. …”
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    A Position Statement on the Utility of Interval Imaging in Standard of Care Brain Tumour Management: Defining the Evidence Gap and Opportunities for Future Research
  12. 1172
    “…In the future, SOCAL may be used to build and validate surgical data science models.…”
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    Utility of the Simulated Outcomes Following Carotid Artery Laceration Video Data Set for Machine Learning Applications
  13. 1173
    por Kagan, Michael
    Publicado 2017
    “…Recent advances in deep learning have seen great success in the realms of computer vision, natural language processing, and broadly in data science. However, these new ideas are only just beginning to be applied to the analysis of High Energy Physics data. …”
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    State-of-the-art Machine Learning in event reconstruction and object identification
  14. 1174
    por Galea, Alex
    Publicado 2018
    “…Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. …”
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    Beginning data analysis with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing data
  15. 1175
    “…This Learning Path is a comprehensive guide that gives you the complete knowledge on how to implement the powerful supervised, unsupervised, and reinforcement learning techniques using R 3.5 in your data science projects. With this Learning Path, you'll gain insights from complex projects and learn advanced methods to build smart applications.…”
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    Advanced machine learning with R: tackle data analytics and machine learning challenges and build complex applications with R 3.5
  16. 1176
    “…It does this by reintegrating individual cost–benefit analysis (CBA) projects using a database system that securely stores and de-identifies project data, and redeploys it using a range of machine learning and data science techniques. In addition, the question of what works is respecified by the Smart MCBT tool as a data science pipeline, which serves to enhance CBA and reconfigure the policy making process in the paradigm of open data and data analytics.…”
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    Online Artículo Texto
    Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
  17. 1177
    “…Process Mining technologies are human-understandable Data Science tools that can fill this gap to support the application of Value-Based Healthcare in real domains. …”
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    Online Artículo Texto
    Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case
  18. 1178
    “…At the same time, the increasing computer power and established use of automated machine learning approaches makes data science tools available, that provide an overview of the MOF chemical space and support the selection of suitable MOFs for a desired application. …”
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    MOFSocialNet: Exploiting Metal-Organic Framework Relationships via Social Network Analysis
  19. 1179
    por Chippendale, Tracy
    Publicado 2022
    “…In this symposium, we will present 1) Findings from the efficacy trial for Stroll Safe, and 2) Describe data science research that can be used to inform outdoor falls prevention programs.…”
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    OUTDOOR FALLS PREVENTION: PROMOTING SAFETY IN URBAN NEIGHBORHOODS
  20. 1180
    por DAVID, André
    Publicado 2015
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    Response
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