Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion.
about
miRNA expression and function in thyroid carcinomas: a comparative and critical analysis and a model for other cancersDiscovering MicroRNA-Regulatory Modules in Multi-Dimensional Cancer Genomic Data: A Survey of Computational MethodsGene-microRNA network module analysis for ovarian cancer.Connecting rules from paired miRNA and mRNA expression data sets of HCV patients to detect both inverse and positive regulatory relationships.Identifying miRNA synergistic regulatory networks in heterogeneous human data via network motifs.Regression analysis of combined gene expression regulation in acute myeloid leukemiaTranscription factor and microRNA-regulated network motifs for cancer and signal transduction networks.Identification of miRNA-mRNA regulatory modules by exploring collective group relationships.RBMMMDA: predicting multiple types of disease-microRNA associations.CancerNet: a database for decoding multilevel molecular interactions across diverse cancer types.A path-based measurement for human miRNA functional similarities using miRNA-disease associations.Network Consistency Projection for Human miRNA-Disease Associations Inference.Computational Biology in microRNA.miRNA-miRNA crosstalk: from genomics to phenomics.Paired proteomics, transcriptomics and miRNomics in non-small cell lung cancers: known and novel signaling cascades.A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.A deep ensemble model to predict miRNA-disease association.Systematic review regulatory principles of non-coding RNAs in cardiovascular diseases.Integrative analysis reveals disrupted pathways regulated by microRNAs in cancer.MIMPFC: Identifying miRNA-mRNA regulatory modules by combining phase-only correlation and improved rough-fuzzy clustering.Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation
P2860
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P2860
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
2014年學術文章
@zh
2014年學術文章
@zh-hant
name
Mirsynergy: detecting synergis ...... pping neighbourhood expansion.
@en
Mirsynergy: detecting synergis ...... pping neighbourhood expansion.
@nl
type
label
Mirsynergy: detecting synergis ...... pping neighbourhood expansion.
@en
Mirsynergy: detecting synergis ...... pping neighbourhood expansion.
@nl
prefLabel
Mirsynergy: detecting synergis ...... pping neighbourhood expansion.
@en
Mirsynergy: detecting synergis ...... pping neighbourhood expansion.
@nl
P2093
P2860
P356
P1433
P1476
Mirsynergy: detecting synergis ...... pping neighbourhood expansion.
@en
P2093
Cheng Liang
Jiawei Luo
Zhaolei Zhang
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU373
P407
P50
P577
2014-06-03T00:00:00Z