Results 61 to 70 of about 7,468,732 (318)
A systems‐level approach to mapping the telomere length maintenance gene circuitry
Molecular Systems Biology, 2008 The ends of eukaryotic chromosomes are protected by telomeres, nucleoprotein structures that are essential for chromosomal stability and integrity. Understanding how telomere length is controlled has significant medical implications, especially in the ...
Rafi Shachar +4 more
doaj +1 more source
Frontiers in Plant Science, 2019 Photoperiodic flowering, a plant response to seasonal photoperiod changes in the control of reproductive transition, is an important agronomic trait that has been a central target of crop domestication and modern breeding programs.
Faqiang Wu +6 more
doaj +1 more source
Network inference and biological dynamics [PDF]
The Annals of Applied Statistics, 2012 Published in at http://dx.doi.org/10.1214/11-AOAS532 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Oates, Chris. J., Mukherjee, Sach
openaire +4 more sources
Blind Wireless Network Topology Inference
IEEE Transactions on Communications, 2021 This work proposes a framework to discover the topology of a non-collaborative packet-based wireless network using radio-frequency (RF) sensors. The methodology developed is blind, allowing topology sensing of a network whose key features (i.e., number of nodes, physical layer signals, and medium access control (MAC) and routing protocols) are unknown.
Testi, Enrico, Giorgetti, Andrea
openaire +2 more sources
Frontiers in Microbiology, 2019 An intriguing aspect in microbial communities is that pairwise interactions can be influenced by neighboring species. This creates context dependencies for microbial interactions that are based on the functional composition of the community.
Hyun-Seob Song +10 more
doaj +1 more source
Network inference using informative priors [PDF]
Proceedings of the National Academy of Sciences, 2008 Recent years have seen much interest in the study of systems characterized by multiple interacting components. A class of statistical models called graphical models, in which graphs are used to represent probabilistic relationships between variables, provides a framework for formal inference regarding such systems.
Sach, Mukherjee, Terence P, Speed
openaire +2 more sources
ThumbNet: One Thumbnail Image Contains All You Need for Recognition
, 2020 Although deep convolutional neural networks (CNNs) have achieved great success in computer vision tasks, its real-world application is still impeded by its voracious demand of computational resources.
Abadi Mart'in +11 more
core +1 more source
, 2015 In this paper, we study the relationship between the network-based inference method and global ranking method in personal recommendation. By some theoretical analysis, we prove that the recommendation result under the global ranking method is the limit ...
Liu, Xiwei
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser +5 more
wiley +1 more source
Gaining confidence in inferred networks [PDF]
Scientific Reports, 2020 Abstract Network inference is a notoriously challenging problem. Inferred networks are associated with high uncertainty and likely riddled with false positive and false negative interactions. Especially for biological networks we do not have good ways of judging the performance of inference methods against real ...
Léo P.M. Diaz, Michael P.H. Stumpf
openaire +5 more sources