AIMC Topic: Glioblastoma

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MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2018
Glioblastoma Multiforme (GBM), a malignant brain tumor, is among the most lethal of all cancers. Temozolomide is the primary chemotherapy treatment for patients diagnosed with GBM. The methylation status of the promoter or the enhancer regions of the...
Humans Neural Networks, Computer Brain Neoplasms Computational Biology Databases, Genetic Magnetic Resonance Imaging DNA Methylation Glioblastoma Dacarbazine DNA Modification Methylases DNA Repair Enzymes Drug Resistance, Neoplasm Tumor Suppressor Proteins Temozolomide Antineoplastic Agents, Alkylating Regulatory Sequences, Nucleic Acid
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Differentiation of Glioblastoma and Lymphoma Using Feature Extraction and Support Vector Machine.

CNS & neurological disorders drug targets Jan 1, 2017
Differentiation of glioblastoma multiformes (GBMs) and lymphomas using multi-sequence magnetic resonance imaging (MRI) is an important task that is valuable for treatment planning. However, this task is a challenge because GBMs and lymphomas may have...
Humans Brain Retrospective Studies Sensitivity and Specificity Brain Neoplasms Imaging, Three-Dimensional Support Vector Machine Lymphoma Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma Nonlinear Dynamics Image Interpretation, Computer-Assisted
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KNOWLEDGE-ASSISTED APPROACH TO IDENTIFY PATHWAYS WITH DIFFERENTIAL DEPENDENCIES.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2016
We have previously developed a statistical method to identify gene sets enriched with condition-specific genetic dependencies. The method constructs gene dependency networks from bootstrapped samples in one condition and computes the divergence betwe...
Humans Algorithms Brain Neoplasms Gene Expression Profiling Gene Regulatory Networks Computational Biology Signal Transduction Databases, Genetic Models, Statistical Glioblastoma Knowledge Bases Likelihood Functions Systems Integration
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