Network Features and Dynamical Landscape of Naive and Primed Pluripotency.
Sign Up to like & getrecommendations! Published in 2018 at "Biophysical journal"
DOI: 10.1016/j.bpj.2017.10.033
Abstract: Although the broad and unique differentiation potential of pluripotent stem cells relies on a complex transcriptional network centered around Oct4, Sox2, and Nanog, two well-distinct pluripotent states, called "naive" and "primed", have been described in vitro… read more here.
Keywords: network; naive primed; pluripotency; network features ... See more keywords
Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study.
Sign Up to like & getrecommendations! Published in 2022 at "Nature communications"
DOI: 10.1038/s41467-022-29766-8
Abstract: How individual differences in brain network organization track behavioral variability is a fundamental question in systems neuroscience. Recent work suggests that resting-state and task-state functional connectivity can predict specific traits at the individual level. However,… read more here.
Keywords: network features; abcd study; mental health; brain network ... See more keywords
Telling functional networks apart using ranked network features stability
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-06497-w
Abstract: Over the past few years, it has become standard to describe brain anatomical and functional organisation in terms of complex networks, wherein single brain regions or modules and their connections are respectively identified with network… read more here.
Keywords: brain activity; brain; network features; network ... See more keywords
Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios
Sign Up to like & getrecommendations! Published in 2022 at "Applied Sciences"
DOI: 10.3390/app12083903
Abstract: Aim: The aim of this study was to develop robust prognostic models for mortality prediction of COVID-19 patients, applicable to different sets of real scenarios, using radiomic and neural network features extracted from chest X-rays… read more here.
Keywords: network features; neural network; prediction; mortality ... See more keywords