... architecture data and to unveil the basic mechanisms shaping its structure. Here, we review some recent advances in the field to discuss how Polymer Physics, combined with numerical Molecular Dynamics simulation and Machine Learning based inference, can capture important aspects of genome organization...

... upon CVs, including new advances in both CV determination and conformational sampling due to machine learning. Correspondence: Jane R. Allison ( j.allison@auckland.ac.nz ) 2 6 2020 7 7 2020 9 7 2020 © 2020 The Author(s) 2020 This is an open access article published...

... potential to push the limits of microscopy, enhancing resolution, signal and information content in acquired data. Its pitfalls are discussed, along with the future directions expected in this field. artificial intelligence classification live-cell imaging machine learning segmentation super...

... closed loop machine learning and its use in the optimization of scientific instrumentation, and the ability to effect high-quality and quasi-continuous optical images of cells. This leads to many important and novel findings. In the first case, these may involve new biomarkers for disease, whereas...

... into comprehensive models of cell behaviour. 1 To whom correspondence should be addressed (email murphy@cmu.edu ). 15 3 2005 © 2005 The Biochemical Society 2005 fluorescence microscopy location proteomics machine learning protein tagging subcellular location 3T3 cell Systems...