Results 81 to 90 of about 831,955 (292)

Multiplexing induced explosive synchronization in Kuramoto oscillators with inertia

, 2017
Explosive synchronization (ES) of coupled oscillators on networks is shown to be originated from existence of correlation between natural frequencies of oscillators and degrees of corresponding nodes.
Jalan, Sarika, Kachhvah, Ajay Deep
core   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Relation Structure-Aware Heterogeneous Information Network Embedding

, 2019
Heterogeneous information network (HIN) embedding aims to embed multiple types of nodes into a low-dimensional space. Although most existing HIN embedding methods consider heterogeneous relations in HINs, they usually employ one single model for all ...
Hu, Linmei, Liu, Zhiyuan, Lu, Yuanfu, Shi, Chuan   +3 more
core   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Variational Graph Convolutional Networks for Dynamic Graph Representation Learning

IEEE Access
The ubiquitous and ever-evolving nature of cyber threats demands innovative approaches that can adapt to the dynamic relationships and structures within network data.
Aabid A. Mir, Megat F. Zuhairi, Shahrulniza Musa, Meshari H. Alanazi, Abdallah Namoun   +4 more
doaj   +1 more source

Cross-Tier Interference Alignment With Interfering Pair Selection in Uplink Heterogeneous Networks With Multiple Macrocells

IEEE Access, 2018
In this paper, we have considered the uplink cross-tier interference in multi-macrocell heterogeneous network-system, where each macrocell consists of a number of small cells.
Yifei Xu, Jiandong Li, Wei Liu, Xiaoya Li, Jia Liu, Xuefei Peng   +5 more
doaj   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Fuzzy-Based Game Theoretic Mobility Management for Energy Efficient Operation in HetNets

IEEE Access, 2017
The dense deployment of heterogeneous networks (HetNets) has shown to be a promising direction to cope with the capacity demands in the future 5G wireless networks.
Karthik Vasudeva, Sener Dikmese, Ismail Guven, Abolfazl Mehbodniya, Walid Saad, Fumiyuki Adachi   +5 more
doaj   +1 more source

Breaking Down the Compatibility Problem in Smart Homes: A Dynamically Updatable Gateway Platform

Sensors, 2020
Smart home is one of the most promising applications of the Internet of Things. Although there have been studies about this technology in recent years, the adoption rate of smart homes is still low.
Linh-An Phan, Taehong Kim
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source