 Connection
Christopher Gignoux to Machine Learning
This is a "connection" page, showing publications Christopher Gignoux has written about Machine Learning.
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Connection Strength |
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0.075 |
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Jiang SJ, Thomas M, Rosenthal EA, Phipps AI, Sakoda LC, van Duijnhoven FJB, Pellatt AJ, Avery CL, Berndt SI, Bishop DT, Castellví-Bel S, Chan AT, Grant RC, Gignoux C, Gsur A, Gunter MJ, Haiman CA, Hoffmeister M, Jarvik GP, Jenkins MA, Keku TO, Küry S, Lee JK, Marchand LL, Moreno V, Newcomb PA, Newton CC, Ogino S, Palmer JR, Pearlman R, Qu C, Schoen RE, Um CY, Van Guelpen B, Visvanathan K, Vymetalkova V, White E, Woods MO, Platz EA, Brenner H, Corley DA, Vogelaar IL, Hsu L, Peters U. Multiple polygenic score approach in colorectal cancer risk prediction. Sci Rep. 2025 Oct 30; 15(1):38006.
Score: 0.038
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Williams CM, Scelza BA, Slack SD, Font-Porterias N, Al-Hindi DR, Mathias RA, Watson H, Barnes KC, Lange E, Johnson RK, Gignoux CR, Ramachandran S, Henn BM. A rapid accurate approach to inferring pedigrees in endogamous populations. Genetics. 2025 08 06; 230(4).
Score: 0.037
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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