SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Novel bioinformatics-based methods such as the EuResist predictive engine constitute attractive alternatives to rules-based algorithms. Future modifications of the GSS/PSS scores and of ...

Abstract: We propose a class of convex relaxations to solve the sensor network localization problem, based on a maximum likelihood (ML ... ML convex relaxation class and we design a distributed ...

Abstract: A recursive maximum-likelihood algorithm (RML) is proposed that can be used when both the observations and the hidden data have continuous values and are statistically dependent between ...

At the heart of the project lies what is referred to as the Bowers WBHI Maternal Brain Project (MBP) dataset, a first-of-its-kind resource for mapping neuroanatomical changes — from preconception ...