Computational methods for identifying miRNA sponge interactions.
about
Competitive endogenous RNA network: potential implication for systemic lupus erythematosus.Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer.Identification and Characterization of miRNA Transcriptome in Asiatic Cotton (Gossypium arboreum) Using High Throughput Sequencing.Identifying miRNA sponge modules using biclustering and regulatory scoresHGIMDA: Heterogeneous graph inference for miRNA-disease association prediction.Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach.Identification of potential cancer-related pseudogenes in lung adenocarcinoma based on ceRNA hypothesis.Integrated analysis of dosage effect lncRNAs in lung adenocarcinoma based on comprehensive network.A novel computational method for inferring competing endogenous interactions.GIMDA: Graphlet interaction-based MiRNA-disease association prediction.Genome-wide identification and analysis of A-to-I RNA editing events in bovine by transcriptome sequencing.JAMI - Fast computation of Conditional Mutual Information for ceRNA network analysis.Genome-wide identification of clusters of predicted microRNA binding sites as microRNA sponge candidatesNetwork-Based Approaches to Explore Complex Biological Systems towards Network Medicine
P2860
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P2860
Computational methods for identifying miRNA sponge interactions.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Computational methods for identifying miRNA sponge interactions.
@en
type
label
Computational methods for identifying miRNA sponge interactions.
@en
prefLabel
Computational methods for identifying miRNA sponge interactions.
@en
P2860
P356
P1476
Computational methods for identifying miRNA sponge interactions.
@en
P2093
Junpeng Zhang
P2860
P304
P356
10.1093/BIB/BBW042
P577
2016-06-05T00:00:00Z