Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
news.ucsc

New data science institute includes a focus on ethics and algorithms

UC Santa Cruz will join three other institutions to establish a transdisciplinary research institute bringing together mathematicians, statisticians, and theoretical computer scientists to develop the ...
Computer Weekly

Ethical and professional data science needed to avoid further algorithm controversies

Strict ethical and professional standards should be applied to the development of algorithms with social impacts to recover public trust in the technology, according to a report by BCS, the Chartered ...
Forbes

Analytics And Data Science Are Converging

Todd is the CEO and Co-Founder of OmniSci, the pioneer in accelerated analytics that enables businesses to uncover important insights. For years, analytics and data science had always been siloed and ...
Nature

Evolutionary Algorithms and Data-Driven Optimization in Materials Science

The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials. Drawing ...
Network World

Data science is easy; making it work is hard

In the world of data science, there are three core problems: acquiring data, doing the math and taking action. Two of those drive data scientists crazy; the other one they find easy. “Doing the math” ...