Results 1 to 10 of about 243,501 (262)

A Systematic Framework for Identifying Prognostic Genes in the Tumor Microenvironment of Colon Cancer

Frontiers in Oncology, 2022
As one of the most common cancers of the digestive system, colon cancer is a predominant cause of cancer-related deaths worldwide. To investigate prognostic genes in the tumor microenvironment of colon cancer, we collected 461 colon adenocarcinoma (COAD)
Jinyang Liu, Jinyang Liu, Yu Lan, Yu Lan, Geng Tian, Geng Tian, Jialiang Yang, Jialiang Yang, Jialiang Yang   +8 more
doaj   +1 more source

Collaborative task offloading and resource allocation with hybrid energy supply for UAV-assisted multi-clouds

Journal of Cloud Computing: Advances, Systems and Applications, 2022
Cloud computing has emerged as a promising paradigm for meeting the growing resource demands of Internet of Things (IoT) devices. Meanwhile, with the popularity of mobile aerial base stations, Unmanned Aerial Vehicle (UAV) assisted cloud computing is ...
Yu Zhou, Hui Ge, Bowen Ma, Shuhang Zhang, Jiwei Huang   +4 more
doaj   +1 more source

Selecting the Suitable Resampling Strategy for Imbalanced Data Classification Regarding Dataset Properties. An Approach Based on Association Models

Applied Sciences, 2021
In many application domains such as medicine, information retrieval, cybersecurity, social media, etc., datasets used for inducing classification models often have an unequal distribution of the instances of each class.
Mohamed S. Kraiem, Fernando Sánchez-Hernández, María N. Moreno-García   +2 more
doaj   +1 more source

Joint DNN partitioning and task offloading in mobile edge computing via deep reinforcement learning

Journal of Cloud Computing: Advances, Systems and Applications, 2023
As Artificial Intelligence (AI) becomes increasingly prevalent, Deep Neural Networks (DNNs) have become a crucial tool for developing and advancing AI applications.
Jianbing Zhang, Shufang Ma, Zexiao Yan, Jiwei Huang   +3 more
doaj   +1 more source

Biological Data Mining [PDF]

Scientific Programming, 2008
Biological data mining purports to extract useful knowledge from massive datasets gathered in biology, and in other related life sciences areas such as medicine and neuroscience. In the recent past, we have witnessed major transformations of these applied sciences into data-driven endeavors.
Zaki, Mohammed J., Ramakrishnan, Naren, Parthasarathy, Srinivasan   +2 more
openaire   +1 more source

Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells

Nature Communications, 2021
To benchmark single cell bioinformatics tools, data simulators can provide a robust ground truth. Here the authors present dyngen, a multi-modal simulator, and apply it to aligning cell developmental trajectories, cell-specific regulatory network ...
Robrecht Cannoodt, Wouter Saelens, Louise Deconinck, Yvan Saeys   +3 more
doaj   +1 more source

An intelligent approach of task offloading for dependent services in Mobile Edge Computing

Journal of Cloud Computing: Advances, Systems and Applications, 2023
With the growing popularity of Internet of Things (IoT), Mobile Edge Computing (MEC) has emerged for reducing the heavy workload at the multi-cloud core network by deploying computing and storage resources at the edge of network close to users.
Jie Chen, Yajing Leng, Jiwei Huang
doaj   +1 more source

Classifying protein-protein interaction articles from biomedical literature using many relevant features and context-free grammar

Journal of King Saud University: Computer and Information Sciences, 2020
Detecting the articles which consist of protein–protein interactions (PPI) is a significant step in biological information extraction. In this paper, we present a hybrid text classification (TC) method to identify protein–protein interaction articles ...
Sabenabanu Abdulkadhar, Gurusamy Murugesan, Jeyakumar Natarajan   +2 more
doaj   +1 more source

Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data

Scientific Reports, 2022
Individual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for understanding people’s frequent travel purposes.
Xinyi Liu, Meiliu Wu, Bo Peng, Qunying Huang   +3 more
doaj   +1 more source

A Scheme for Quickly Simulating Extraterrestrial Solar Radiation over Complex Terrain on a Large Spatial-Temporal Span—A Case Study over the Entirety of China

Remote Sensing, 2022
Extraterrestrial solar radiation (ESR) is the essential basic background for solar radiation, which determines the occurrence of the weather and atmospheric phenomena.
Siwei Lin, Nan Chen, Qianqian Zhou, Tinmin Lin, Huange Li   +4 more
doaj   +1 more source