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pro vyhledávání: '"Chi-Ian Tang"'
Autor:
Chak-Lim Wong, Yat-Sing Wong, Ruibang Luo, Chi-Ming Leung, Tak-Wah Lam, Chi-Ian Tang, Chi-Man Liu
Publikováno v:
Nature Machine Intelligence. 2:220-227
Single-molecule sequencing technologies have emerged in recent years and revolutionized structural variant calling, complex genome assembly and epigenetic mark detection. However, the lack of a highly accurate small variant caller has limited these t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b727c7fbdfbac66b9c6c4a919b4a4c64
https://doi.org/10.1038/s42256-020-0167-4
https://doi.org/10.1038/s42256-020-0167-4
Autor:
Chi Ian Tang, Dimitris Spathis, Ignacio Perez-Pozuelo, Cecilia Mascolo, Soren Brage, Nicholas J. Wareham
Machine learning and deep learning have shown great promise in mobile sensing applications, including Human Activity Recognition. However, the performance of such models in real-world settings largely depends on the availability of large datasets tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42b6bb22c30e535e467b0f6fa8adddb4
Autor:
Chi-Man Liu, Ruibang Luo, Chak-Lim Wong, Yat-Sing Wong, Chi-Ming Leung, Tak-Wah Lam, Chi-Ian Tang
Single-molecule sequencing technologies have emerged in recent years and revolutionized structural variant calling, complex genome assembly, and epigenetic mark detection. However, the lack of a highly accurate small variant caller has limited the ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbc22e3550c5a59c754502ba5299ec27
A number of rare variant tests have been developed to explore the effect of low frequency genetic variations on complex phenotypes. However, an often neglected aspect in these tests is the position of genetic variations. Here we are proposing a way t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bd1f870e03029fdd50700a877626b86