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1. |
Record Nr. |
UNINA9910496034103321 |
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Autore |
Brun-Wauthier Anne-Sophie |
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Titolo |
Éthique de la recherche et risques humains / / Thierry Martin |
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Pubbl/distr/stampa |
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Besançon, : Presses universitaires de Franche-Comté, 2020 |
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ISBN |
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Descrizione fisica |
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1 online resource (164 p.) |
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Collana |
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Les Cahiers de la MSHE Ledoux |
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Altri autori (Persone) |
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Fagot-LargeaultAnne |
GodardOlivier |
LechopierNicolas |
MartinThierry |
PelluchonCorine |
ServerinÉvelyne |
VergèsÉtienne |
VialGéraldine |
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Soggetti |
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History & Philosophy Of Science |
éthique |
recherche |
bioéthique |
risques |
fraudes |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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La recherche scientifique est confrontée dans son activité même à des questions éthiques (fraudes, possibles conflits d’intérêts entre l’activité scientifique et des partenaires commerciaux, etc.). Elle rencontre aussi des questions éthiques dès lors qu’elle s’applique à des êtres humains et est alors susceptible d’entraîner des conséquences sur leur liberté ou leur sécurité. Ce n’est pas seulement la recherche biomédicale qui est ici concernée, mais toute activité de recherche dont les conséquences sont susceptibles d’affecter soit des individus, soit des populations, ce qui est le cas en psychologie et en sociologie et dans toute recherche |
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impliquant l’utilisation de données personnelles. |
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2. |
Record Nr. |
UNINA9910346689103321 |
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Autore |
Carlson Ross |
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Titolo |
Methods in Computational Biology / Ross Carlson, Herbert Sauro |
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Pubbl/distr/stampa |
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
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Basel, Switzerland : , : MDPI, , 2019 |
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ISBN |
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Descrizione fisica |
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1 electronic resource (214 p.) |
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Soggetti |
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Information technology industries |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled "Methods in Computational Biology", is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections:•Reviews of Computational Methods•Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels•The Interface of Biotic and Abiotic Processes•Processing of Large Data Sets for Enhanced Analysis•Parameter Optimization and Measurement |
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