Data integration method based on SOA software architecture

2010 ◽  
Vol 30 (9) ◽  
pp. 2370-2373 ◽  
Author(s):  
Jiong LANG ◽  
Yan-bing LIU ◽  
Shi-yong XIONG
Keyword(s):  
Data Integration ◽  
Software Architecture ◽  
Integration Method

scholarly journals Identification of Alzheimer's Disease-Related Genes Based on Data Integration Method

2019 ◽  
Vol 9 ◽  
Author(s):  
Yang Hu ◽  
Tianyi Zhao ◽  
Tianyi Zang ◽  
Ying Zhang ◽  
Liang Cheng
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Data Integration ◽  
Integration Method ◽  
Disease Related Genes

Secure Channel for Sharing Datasets by using Privacy-Preserving Integration Method

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
G Sriman Narayana ◽  
Kuruva Arjun Kumar
Keyword(s):  
Data Integration ◽  
Integration Method ◽  
Privacy Preserving ◽  
The Other ◽  
Third Party ◽  
Traffic Data ◽  
Structure Preserving ◽  
Efficient Approach ◽  
The Third ◽  
Secure Channel

In privacy-enhancing technology, it has been inevitably challenging to strike a maintain balance between privacy, efficiency and usability (utility). We propose a highly practical and efficient approach for privacy-preserving integration and sharing of datasets among a group of participants. At the heart of our solution is a new interactive protocol, Secure Channel. Through Secure Channel, each participant is able to randomize their datasets via an independent and untrusted third party, such that the resulting dataset can be merged with other randomized datasets contributed by other participants group in a privacy-preserving manner. Our process does not require any public or key sharing between participants in order to integrate different datasets. This, in turn, leads to a user can understand and use easily and scalable solution. Moreover, the accuracy of a randomized dataset which are returned by the third party can be securely verified by the other participant of group. We further demonstrate Secure Channel’s general utilities, using it to construct a structure preserving data integration protocol. This is mainly useful for, good quality integration of network traffic data.

A policy integration method based on multilevel security for data integration

2015 ◽  
Vol 20 (6) ◽  
pp. 483-489
Author(s):  
Xinming Wang ◽  
Haoxiang Tan ◽  
Kaijun Chen ◽  
Hua Tang ◽  
Gansen Zhao ◽  
...  
Keyword(s):  
Data Integration ◽  
Integration Method ◽  
Policy Integration ◽  
Multilevel Security

scholarly journals Multiple-platform data integration method with application to combined analysis of microarray and proteomic data

2012 ◽  
Vol 13 (1) ◽  
pp. 320 ◽  
Author(s):  
Shicheng Wu ◽  
Yawen Xu ◽  
Zeny Feng ◽  
Xiaojian Yang ◽  
Xiaogang Wang ◽  
...  
Keyword(s):  
Data Integration ◽  
Integration Method ◽  
Combined Analysis ◽  
Proteomic Data ◽  
Multiple Platform

scholarly journals Fast Batch Alignment of Single Cell Transcriptomes Unifies Multiple Mouse Cell Atlases into an Integrated Landscape

2018 ◽  
Author(s):  
Jong-Eun Park ◽  
Krzysztof Polański ◽  
Kerstin Meyer ◽  
Sarah A. Teichmann
Keyword(s):  
Data Integration ◽  
Single Cell ◽  
Large Scale ◽  
Integration Method ◽  
Mouse Cell ◽  
Rna Seq ◽  
Computational Tools ◽  
Integrative Study ◽  
Data Explosion ◽  
Computationally Intensive

AbstractIncreasing numbers of large scale single cell RNA-Seq projects are leading to a data explosion, which can only be fully exploited through data integration. Therefore, efficient computational tools for combining diverse datasets are crucial for biology in the single cell genomics era. A number of methods have been developed to assist data integration by removing technical batch effects, but most are computationally intensive. To overcome the challenge of enormous datasets, we have developed BBKNN, an extremely fast graph-based data integration method. We illustrate the power of BBKNN for dimensionalityreduced visualisation and clustering in multiple biological scenarios, including a massive integrative study over several murine atlases. BBKNN successfully connects cell populations across experimentally heterogeneous mouse scRNA-Seq datasets, which reveals global markers of cell type and organspecificity and provides the foundation for inferring the underlying transcription factor network. BBKNN is available at https://github.com/Teichlab/bbknn.

Data Integration Method for Multipath Ultrasonic Flowmeter

2012 ◽  
Vol 12 (9) ◽  
pp. 2866-2874 ◽  
Author(s):  
Lihui Peng ◽  
Bowen Zhang ◽  
Huichao Zhao ◽  
Sonh Aubin Stephane ◽  
Hiroaki Ishikawa ◽  
...  
Keyword(s):  
Data Integration ◽  
Integration Method ◽  
Ultrasonic Flowmeter
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