Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer.
Sign Up to like & getrecommendations! Published in 2020 at "Physical biology"
DOI: 10.1088/1478-3975/abb09c
Abstract: A significant challenge in the field of biomedicine is the development of methods to integrate the multitude of dispersed data sets into comprehensive frameworks to be used to generate optimal clinical decisions. Recent technological advances… read more here.
Keywords: single cell; bulk time; framework; time course ... See more keywords
CNNGRN: A convolutional neural network-based method for gene regulatory network inference from bulk time-series expression data.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3282212
Abstract: Gene regulatory networks (GRNs) participate in many biological processes, and reconstructing them plays an important role in systems biology. Although many advanced methods have been proposed for GRN reconstruction, their predictive performance is far from… read more here.
Keywords: network; time series; expression data; bulk time ... See more keywords