Analysis of aging-related protein interactome and cross-network module comparisons across tissues provide new insights into aging
Sign Up to like & getrecommendations! Published in 2021 at "Computational biology and chemistry"
DOI: 10.1016/j.compbiolchem.2021.107506
Abstract: Delaying the human aging process and thus eliminating the risk factors for age-related diseases is one of the prime objectives. While various aging-associated genes and proteins have been characterized, which provide a significant understanding of… read more here.
Keywords: network; protein interactome; analysis; cross network ... See more keywords
Towards High-Performance Supercapacitor Electrodes via Achieving 3D Cross-Network and Favorable Surface Chemistry.
Sign Up to like & getrecommendations! Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c06160
Abstract: Transition metal phosphides/phosphates (TMPs) are considered appealing electrode materials in energy-related fields, especially in supercapacitors. However, the dilemma of inadequate electrode kinetics and dimensional unreliability evoked by a huge volume variation during cycling significantly plagues… read more here.
Keywords: cross network; chemistry; surface; surface chemistry ... See more keywords
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3207093
Abstract: Vessel segmentation is widely used to help with vascular disease diagnosis. Vessels reconstructed using existing methods are often not sufficiently accurate to meet clinical use standards. This is because 3D vessel structures are highly complicated… read more here.
Keywords: cross network; vessel segmentation; vessel; graph ... See more keywords
Application Research for Fusion Model of Pseudolabel and Cross Network
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9986611
Abstract: Datasets usually suffer from supervised information missing and weak generalization ability in deep convolution neural network. In this paper, pseudolabel (PL) of Weakly Supervised Learning (WSL) was used to address the problem of supervised information… read more here.
Keywords: cross network; network; fusion model; pseudolabel ... See more keywords