March 29, 2013 by Suzanne Elvidge in Data mining

Genetic typos increase breast, prostate and ovarian cancer risk

Our genomes are full of changes to our genetic code – genetic spelling mistakes – and while many of these have little or no impact, sometimes a combination of single letter changes (single nucleotide polymorphisms or SNPs) can have a major impact in our health or susceptibility to disease. An

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March 25, 2013 by Suzanne Elvidge in Data mining, GenoKey's big data analyses, Healthcare big data analysis

GWAS, data mining and bipolar disorder

Bipolar disorder tends to run in families, but its genetics aren’t clear cut. The answer to the puzzle is unlikely to be a single gene; rather a mix of a number of different mutations, with environmental influences too. To try to solve the genetic puzzle, a group of Danish and

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March 20, 2013 by Suzanne Elvidge in Data mining

Using data arrays and data mining to solve problems

Science is all about problem-solving, and as scientific research produces and more data, this wealth of ‘big data’ could supply answers to a great many questions in healthcare and medicine, such as linking clinical symptoms with genetic changes, or looking at costs and outcomes of different treatment choices. But in

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March 12, 2013 by Suzanne Elvidge in Data mining

Data mining in genomics: An introduction

We create data in vast quantities every day, from patient records and preclinical and clinical research, right down to mobile phone use and shopping trips. In total, we produce up to 2.5 quintillion bytes of data every day, which adds up to the same amount of data every two days

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