Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Brand new distributed and privatized miRNA-disease association prediction method

A forecasting method and distributed technology, applied in the fields of molecular biology and life sciences, can solve problems such as unsatisfactory forecasting accuracy

Inactive Publication Date: 2018-02-02
HANGZHOU DIANZI UNIV
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both RLSMDA and WBSMDA can be applied to diseases without any known associated miRNAs, but the prediction accuracy is still not satisfactory

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Brand new distributed and privatized miRNA-disease association prediction method
  • Brand new distributed and privatized miRNA-disease association prediction method
  • Brand new distributed and privatized miRNA-disease association prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0068] The present invention will be described in detail below in combination with specific embodiments.

[0069] Such as Figure 1-3 As shown, the present invention is a brand-new distributed and privatized miRNA-disease association prediction framework, which is specifically implemented according to the following steps.

[0070] Step 1. Data input.

[0071] First, in order to obtain the association between miRNAs and diseases, three matrices are used as input, representing miRNA-disease association, miRNA functional similarity, and disease semantic similarity, respectively.

[0072] The HMDD database was used as a source of human miRNA-disease relationships, with 5430 experimentally validated records, partially revealing the links between 383 diseases and 495 miRNAs in the latest version. An association matrix A was constructed to describe miRNA-disease associations. A(d(i); m(j))=1 means that miRNAm(j) is experimentally confirmed to be associated with disease d(i), other...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a brand new distributed and privatized miRNA-disease association prediction method, which is characterized in that firstly, DPMDA collects, analyzes and estimates matrix factors representing the relationship between miRNAs and diseases, and the prediction accuracy is improved through exchanging information between distributed data sets; secondly, DPFMDA only needs positivesamples, the performance is not easy to be affected by the data sparsity, and the matrix factors from the distributed data set are used for generating a common reference factor; and thirdly, the DPFMDA is a distributed and privatized framework which perfectly realizes and promotes the cooperation between different biomedical databases. The biomedical research will benefit from the prediction results.

Description

technical field [0001] The invention belongs to the field of life sciences, in particular to the field of molecular biology, in particular to a brand-new distributed and privatized miRNA-disease association prediction method. Background technique [0002] MicroRNAs (miRNAs) are a class of small regulatory non-coding RNAs (~22 nt) that affect the expression of complementary mRNAs by binding to target sites found within the 3'-UTR of target mRNAs after transcription or translation. In addition, miRNAs can repress gene expression in some cases and also act as positive regulators. [0003] Multiple studies have shown that miRNAs play key roles in many biological processes, including proliferation, development, cell differentiation and apoptosis, metabolism, aging, signal transduction, virus infection, etc. Therefore, dysregulation of miRNAs is closely related to various human complex diseases, such as various cancers. For example, overexpression of miR-22 and downregulation of...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G16H50/70G06F19/22
CPCG16B30/00
Inventor 陈立鑫颜成钢刘炳涛周东
Owner HANGZHOU DIANZI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com