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个人简介
Dr. Noble's research applies statistical and machine learning methods to the analysis of complex biological data sets. He has extensive experience developing novel analytical methods, creating user-friendly software implementing those methods, and collaborating with experimentalists. The most notable areas of research for Dr. Noble and his group are sequence analysis methods for DNA and proteins, kernel methods for learning from heterogeneous data, semi-automated genome annotation, the 3D structure of the genome and machine learning and statistical methods for analyzing shotgun proteomics data.
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论文共 388 篇作者统计合作学者相似作者
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Nature Communicationsno. 1 (2024): 1-14
Chengxiang Qiu,Beth K. Martin,Ian C. Welsh,Riza M. Daza, Truc-Mai Le,Xingfan Huang,Eva K. Nichols, Megan L. Taylor, Olivia Fulton, Diana R. O’Day, Anne Roshella Gomes, Saskia Ilcisin,
Natureno. 8001 (2024): 1084-1093
Thomas Hollin,Steven Abel,Charles Banks, Borislav Hristov,Jacques Prudhomme, Kianna Hales,Laurence Florens,William Stafford Noble,Karine G. Le Roch
Nature Communicationsno. 1 (2024): 1-16
NATURE COMMUNICATIONSno. 1 (2024): 1-14
Suchen Zheng, Nitya Thakkar,Hannah L. Harris,Susanna Liu, Megan Zhang,Mark Gerstein,Erez Lieberman Aiden,M. Jordan Rowley,William Stafford Noble,Gamze Gürsoy,Ritambhara Singh
iScience (2024)
biorxiv(2024)
Proteomicspp.e2300084-e2300084, (2024)
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