... 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...

... classification live-cell imaging machine learning segmentation super-resolution microscopy A hallmark of human intelligence is the ability to adapt previous knowledge to new situations and to recognize meaning in patterns. Replicating these abilities in non-human agents is the main goal of Artificial...

... 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...

... ] and clustered as described in the text and in [ 13 ]. 15 3 2005 © 2005 The Biochemical Society 2005 fluorescence microscopy location proteomics machine learning protein tagging subcellular location 3T3 cell Following the logic laid out above, we have coined the term location...