Identification of Osteosarcoma Driver Genes Using a Network Method

Oncology Letters - Greece
doi 10.3892/ol.2019.11212
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Spandidos Publications

Related search

Identification of Ovarian Cancer Driver Genes by Using Module Network Integration of Multi-Omics Data

Interface Focus
BiochemistryBiophysicsBiomaterialsBioengineeringBiotechnologyBiomedical Engineering
2013English

Identification of Differentially Expressed Genes in the Development of Osteosarcoma Using RNA-seq

Oncotarget
Oncology
2016English

Identification of Strain-Specific Genes in Rhodococcus Erythropolis Using a Modified HiCEP Method

Open Biotechnology Journal
BiochemistryBiotechnologyBiophysicsBiomedical EngineeringBioengineering
2007English

Driver Behaviour Profiling Using Dynamic Bayesian Network

International Journal of Modern Education and Computer Science
2018English

Focal Chromosomal Copy Number Aberrations Identify CMTM8 and GPR177 as New Candidate Driver Genes in Osteosarcoma

PLoS ONE
Multidisciplinary
2014English

Table 2: Network Characteristics of Packages Used to Predict Cancer Driver Genes.

English

Identification of Inference Genes in Breast Cancer Network

Journal of Biosciences and Medicines
2017English

MaxMIF: A New Method for Identifying Cancer Driver Genes Through Effective Data Integration

Advanced Science
Materials ScienceGeneticsMolecular BiologyBiochemistryEngineeringChemical EngineeringMedicineAstronomyPhysics
2018English

Identification of Candidate Drugs for the Treatment of Metastatic Osteosarcoma Through a Subpathway Analysis Method

Oncology Letters
Cancer ResearchOncology
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy