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Graham Williams

Wales
As seen in: Medium, Nature, Yahoo Canada, Australian Broadcasting Corporation (ABC), Sydney Morning Herald, Taylor & Francis Online, The Conversation, ACS Publications, PCWorld, Phys.org and
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Articles

Multiscale analysis and functional validation of the cellular and genetic determinants of skeletal disease

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By Ryan C. Chai, Mischa Lundberg, Bernard Freudenthal, James Smith, Andrew Boughton, Kaitlyn Flynn, Monika Frysz, Weng Hua Khoo, Davide Komla-Ebri, Siobhan E. Guilfoyle, John Logan, Natalie C. Butterfield, Victoria Leitch, Andrea Pollard, Lorenzo Ramos-Mucci, Amaia Vilas-Zornoza, Yunshun Chen, Raymond Yip, Jeremy Er, Siew Zhuan Tan, Michelle McDonald, Scott E Youlten, C. Sergio, Ariel Castro-Martinez, Shelley Young, Elena Y. Skorokhodova, David Evans, Joseph Powell, Christiaan de Leeuw, Adam Ewing, John Eisman, Robert Blank, Tri Giang Phan, Anne K. Lagendijk, Edwin Hawkins, Rebecca McIntyre, Edith Hessel, Jake P. Taylor-King, Emma Duncan Verified, Graham Williams, Peter Croucher, John Kemp, Yuandan Zhang, Alexander P. Corr, Michael R. G. Dack, Riikka E. Mäkitie, Nathaniel Bradford, Horng Lii Oh, Paul A. Baldock, J. H. Duncan Bassett
| Nature Verified
Abstract Musculoskeletal diseases are a major health burden. Development of bone-active therapies has been hindered by limited understanding of the cells and genes that regulate the skeleton. We exploited the value of cross-species analysis and developed single-cell methodologies in skeletal tissues to define the critical endosteal compartment that regulates bone turnover.
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Program: Saturday Gardening 6 June

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By Emma Bickley, Graham Williams
| Australian Broadcasting Corporation (ABC) Verified
Take your favourite podcasts and radio with you
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Data mining with Rattle and R: the art of excavating data for knowledge discovery

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By Graham Williams
| Dialnet - Universidad de La Rioja
Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining.
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