Joint Covariate Detection on Expression Profiles for Identifying MicroRNAs Related to Venous Metastasis in Hepatocellular Carcinoma
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Summary
A joint covariate detection that not only considered projections on gene probes and tissues simultaneously, but also concentrated on distinguishing patients into different groups, which might reveal the mechanism of venous metastasis in primary hepatocellular carcinoma.
- Type
- article
- Published
- 2017-07-13
- Cited by
- 8
- References
- 41
- Access
- Open access
- OpenAlex
- https://openalex.org/W2728595591
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:230448
Keywords
Hepatocellular carcinoma, microRNA, Metastasis, Covariate, Medicine
References
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- Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity
- Hypoxia‐inducible MicroRNA‐210 augments the metastatic potential of tumor cells by targeting vacuole membrane protein 1 in hepatocellular carcinoma
- MicroRNA-135a contributes to the development of portal vein tumor thrombus by promoting metastasis in hepatocellular carcinoma.
- MicroRNA‐29b suppresses tumor angiogenesis, invasion, and metastasis by regulating matrix metalloproteinase 2 expression
- Hepatocellular carcinoma: Clinicopathological aspects
- MicroRNA‐7 inhibits tumor growth and metastasis by targeting the phosphoinositide 3‐kinase/Akt pathway in hepatocellular carcinoma
- Predicting hepatitis B virus–positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning
- Kernel-based method for feature selection and disease diagnosis using transcriptomics data
- Computational analysis of biological functions and pathways collectively targeted by co-expressed microRNAs in cancer
- MicroRNA‐30d promotes tumor invasion and metastasis by targeting Galphai2 in hepatocellular carcinoma
- Differential diagnosis of hepatocellular carcinoma from metastatic tumors in the liver using microRNA expression.
- Abstract C43: Functional association of MDM2 binding protein with migratory and metastatic potential of hepatocellular carcinoma
- Identification of metastasis‐related microRNAs in hepatocellular carcinoma
- Multifunction Protein Staphylococcal Nuclease Domain Containing 1 (SND1) Promotes Tumor Angiogenesis in Human Hepatocellular Carcinoma through Novel Pathway That Involves Nuclear Factor κB and miR-221*
- Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
- MicroRNA-214 downregulation contributes to tumor angiogenesis by inducing secretion of the hepatoma-derived growth factor in human hepatoma.
Cited by
- JCD-DEA: a joint covariate detection tool for differential expression analysis on tumor expression profiles
- MicroRNAs play an important role in contributing to arsenic susceptibility in the chronically exposed individuals of West Bengal, India
- ECFS-DEA: an ensemble classifier-based feature selection for differential expression analysis on expression profiles
- Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data
- CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis
- Ensemble classification based signature discovery for cancer diagnosis in RNA expression profiles across different platforms
- Review of feature selection approaches based on grouping of features
- RCE-IFE: recursive cluster elimination with intra-cluster feature elimination
- Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data
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