A deep learning model for predicting optimal distance range in crosslinking mass spectrometry data.
Sign Up to like & getrecommendations! Published in 2023 at "Proteomics"
DOI: 10.1002/pmic.202200341
Abstract: Macromolecular assemblies play an important role in all cellular processes. While there has recently been significant progress in protein structure prediction based on deep learning, large protein complexes cannot be predicted with these approaches. The… read more here.
Keywords: mass spectrometry; distance; crosslinking mass; range ... See more keywords
Distance-Range-Oriented Constellation Design for VLC-SCMA Downlink With Signal-Dependent Noise
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2019.2892122
Abstract: In this letter, the constellation design for a sparse code multiple access-based visible light communication downlink is studied. The noise at the receiving avalanche photodiode is dependent on the signal intensity, and the associated design… read more here.
Keywords: noise; constellation design; design; distance range ... See more keywords