Network-based analytics plays an increasingly important role in precision oncology. Growing evidence in recent studies suggests that cancer can be better understood through mutated or dysregulated pathways or networks rather than individual mutations and that the efficacy of repositioned drugs can be inferred from disease modules in molecular networks. This article reviews network-based machine learning and graph theory algorithms for integrative analysis of personal genomic data and biomedical knowledge bases to identify tumor-specific molecular mechanisms, candidate targets and repositioned drugs for personalized treatment. The review focuses on the algorithmic design and mathematical formulation of these methods to facilitate application...
Large-scale cancer genomics projects are providing a wealth of somatic mutation data from a large nu...
Cancer has been increasingly recognized as a systems biology disease since many investigators have d...
Computational drug repositioning approaches are important, as they cost less com-pared to the tradit...
Genomic profiles of cancer cells provide valuable information on genetic alterations in cancer. Seve...
Cancer is a very complex genetic disease driven by combinations of mutated genes. This complexity st...
The flood of genome-wide data generated by high-throughput technologies currently provides biologist...
Networks provide an intuitive and highly adaptable means to model relationships between objects. Whe...
Cancer is a heterogeneous disease mainly driven by abnormal gene perturbations in regulatory network...
Network biology has garnered tremendous attention in understanding complex systems of cancer, becaus...
Thesis (Ph.D.)--University of Washington, 2013Studies of the genetic basis of complex disease presen...
Recent advances in the analysis of omics data from various cancer cells pave the way for cancer ther...
The rapid improvement of next-generation sequencing (NGS) technologies and their application in larg...
The post-genomic era has resulted in the accumulation of high-throughput cancer data from a vast arr...
Abstract Background In cancer genomic medicine, finding driver mutations involved in cancer developm...
UnrestrictedA major goal of cancer research is to find specific therapies to molecular targets in ca...
Large-scale cancer genomics projects are providing a wealth of somatic mutation data from a large nu...
Cancer has been increasingly recognized as a systems biology disease since many investigators have d...
Computational drug repositioning approaches are important, as they cost less com-pared to the tradit...
Genomic profiles of cancer cells provide valuable information on genetic alterations in cancer. Seve...
Cancer is a very complex genetic disease driven by combinations of mutated genes. This complexity st...
The flood of genome-wide data generated by high-throughput technologies currently provides biologist...
Networks provide an intuitive and highly adaptable means to model relationships between objects. Whe...
Cancer is a heterogeneous disease mainly driven by abnormal gene perturbations in regulatory network...
Network biology has garnered tremendous attention in understanding complex systems of cancer, becaus...
Thesis (Ph.D.)--University of Washington, 2013Studies of the genetic basis of complex disease presen...
Recent advances in the analysis of omics data from various cancer cells pave the way for cancer ther...
The rapid improvement of next-generation sequencing (NGS) technologies and their application in larg...
The post-genomic era has resulted in the accumulation of high-throughput cancer data from a vast arr...
Abstract Background In cancer genomic medicine, finding driver mutations involved in cancer developm...
UnrestrictedA major goal of cancer research is to find specific therapies to molecular targets in ca...
Large-scale cancer genomics projects are providing a wealth of somatic mutation data from a large nu...
Cancer has been increasingly recognized as a systems biology disease since many investigators have d...
Computational drug repositioning approaches are important, as they cost less com-pared to the tradit...