High-throughput technologies for DNA sequencing and for analyses of transcriptomes,
proteomes and metabolomes have provided the foundations for deciphering the structure …

Gene regulatory network (GRN) is the important mechanism of maintaining life process,
controlling biochemical reaction and regulating compound level, which plays an important …

Gene regulatory networks (GRNs) are key determinants of cell function and identity and are
dynamically rewired during development and disease. Despite decades of advancement …

The importance of whole-genome duplication (WGD) for evolution is controversial. Whereas
some view WGD mainly as detrimental and an evolutionary dead end, there is growing …

Consistency of community detection in networks under degree-corrected stochastic block
models Page 1 The Annals of Statistics 2012, Vol. 40, No. 4, 2266–2292 DOI: 10.1214/12-AOS1036 …

Prediction of metabolic changes that result from genetic or environmental perturbations has
several important applications, including diagnosing metabolic disorders and discovering …

Abstract The Arabidopsis Gene Regulatory Information Server (AGRIS; http://arabidopsis.
med. ohio-state. edu/) provides a comprehensive resource for gene regulatory studies in the …

Networks are typically visualized with force-based or spectral layouts. These algorithms lack
reproducibility and perceptual uniformity because they do not use a node coordinate system …

Trainability, in any substrate, refers to the ability to change future behavior based on past
experiences. An understanding of such capacity within biological cells and tissues would …

At the intersection between artificial intelligence and statistics, supervised learning allows
algorithms to automatically build predictive models from just observations of a system …