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pro vyhledávání: '"Riehle, Kevin P."'
Autor:
Claussnitzer, Melina, Parikh, Victoria N., Wagner, Alex H., Arbesfeld, Jeremy A., Bult, Carol J., Firth, Helen V., Muffley, Lara A., Ba, Alex N. Nguyen, Riehle, Kevin, Roth, Frederick P., Tabet, Daniel, Bolognesi, Benedetta, Glazer, Andrew M., Rubin, Alan F.
Multiplexed Assays of Variant Effect (MAVEs) have emerged as a powerful approach for interrogating thousands of genetic variants in a single experiment. The flexibility and widespread adoption of these techniques across diverse disciplines has led to
Externí odkaz:
http://arxiv.org/abs/2306.15113
Previous studies have shown that automated text-mining tools are becoming increasingly important for successfully unlocking variant information in scientific literature at large scale. Despite multiple attempts in the past, existing tools are still o
Externí odkaz:
http://arxiv.org/abs/2204.03637
Akademický článek
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Autor:
Riehle, Kevin P.
Publikováno v:
International Journal of Intelligence & Counterintelligence; Winter2024, Vol. 37 Issue 4, p1238-1263, 26p
Autor:
Riehle, Kevin P.
Publikováno v:
Intelligence & National Security; Aug2024, Vol. 39 Issue 5, p864-878, 15p
Autor:
Riehle, Kevin P.
Publikováno v:
International Journal of Intelligence & Counterintelligence; Summer2024, Vol. 37 Issue 2, p812-816, 5p
Autor:
Riehle, Kevin P. (AUTHOR) kevin.riehle@dodiis.mil
Publikováno v:
Intelligence & National Security. Dec 2021, Vol. 36 Issue 7, p1057-1064. 8p.
Autor:
Riehle, Kevin P. (AUTHOR) Kevin.Riehle@dodiis.mil
Publikováno v:
Intelligence & National Security. Oct2021, Vol. 36 Issue 6, p918-924. 7p.