PROSE: phenotype-specific network signatures from individual proteomic samples
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad075
Abstract: Proteomic studies characterize the protein composition of complex biological samples. Despite recent advancements in mass spectrometry instrumentation and computational tools, low proteome coverage and interpretability remains a challenge. To address this, we developed Proteome Support… read more here.
Keywords: network; prose phenotype; phenotype specific; network signatures ... See more keywords
Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2022.105914
Abstract: Previous deep learning-based super-resolution (SR) methods rely on the assumption that the degradation process is predefined (e.g., bicubic downsampling). Thus, their performance would suffer from deterioration if the real degradation is not consistent with the… read more here.
Keywords: distortion specific; super resolution; resolution; degradation ... See more keywords
Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis
Sign Up to like & getrecommendations! Published in 2021 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1008962
Abstract: In the past few years, a wealth of sample-specific network construction methods and structural network control methods has been proposed to identify sample-specific driver nodes for supporting the Sample-Specific network Control (SSC) analysis of biological… read more here.
Keywords: sample; specific network; network; control methods ... See more keywords