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Method for deducing relations between lncRNA and diseases

A disease and purpose technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem that the precise pathogenesis of the disease is not very clear, and achieve the effect of improving the accuracy

Active Publication Date: 2016-11-09
CENT SOUTH UNIV
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Problems solved by technology

However, the precise pathogenesis of diseases caused by the diverse roles of lncRNAs and other biomolecules is not well understood

Method used

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  • Method for deducing relations between lncRNA and diseases
  • Method for deducing relations between lncRNA and diseases
  • Method for deducing relations between lncRNA and diseases

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Embodiment Construction

[0012] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0013] The main process of the present invention is: 1) calculate the functional similarity score between lncRNAs according to the similarity score between diseases and the connection between known lncRNA-diseases; 2) according to disease similarity data, protein interaction data , lncRNA functional similarity data and the connection between them to construct a global heterogeneous network, and normalize the edges of each network; 3) information from the query network (disease network) along to the target network (lncRNA network) Information dissemination (including intra-network information dissemination and inter-network information dissemination) is carried out on the path until the information dissemination stops in the network adjacent to the destination network. This process is repeated until all paths from the query network to the desti...

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Abstract

The invention discloses a method for deducing relations between lncRNA and diseases. The method comprises the steps that a global heterogeneous network is constructed according to multiple kinds of heterogeneous data (lncRNA-disease relational data, protein-protein interaction data, lncRNA-protein interaction data and the like), and then possible relations between lncRNA and diseases are identified through the network communication algorithm. Compared with the prior art, in addition to the relations, provided by experiments, between lncRNA and diseases, more biological data can be integrated, for example, the lncRNA-protein relation, the protein-protein interaction relation, the protein-disease relation and the like are integrated. By fusing more biological data, the relations between lncRNA and diseases can be predicted more accurately compared with the prior art, multiple lncRNA-disease relations can be predicted once on a large scale, and the problems of blindness and high cost of biological experimental methods are effectively solved.

Description

technical field [0001] The invention belongs to the field of bioinformatics, in particular to a method for identifying lncRNAs associated with diseases. Background technique [0002] Studies represented by the "Human Genome Project" have shown that about 93% of the sequences in the human genome can be transcribed, of which no more than 2% can encode proteins, and more than 98% are non-coding sequences. Protein transcripts are called noncoding RNA (noncoding RNA, ncRNA). Among these non-coding RNAs, one type of RNA molecules longer than 200 nt is called long non-coding RNA (long non-coding RNA, lncRNA). Generally, lncRNAs have low conservation across species, low expression levels and tissue specificity, therefore, lncRNAs were considered as transcriptional noise when they were first discovered. Recent studies have shown that lncRNA plays an important role in many life activities such as dosage compensation effect, epigenetic regulation, cell cycle regulation and cell diffe...

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Application Information

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IPC IPC(8): G06F19/18
CPCG16B20/00
Inventor 邓磊张敬普张祖平
Owner CENT SOUTH UNIV
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