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Articles 1 - 5 of 5
Full-Text Articles in Engineering
A Machine Learning Framework For Identifying Molecular Biomarkers From Transcriptomic Cancer Data, Md Abdullah Al Mamun
A Machine Learning Framework For Identifying Molecular Biomarkers From Transcriptomic Cancer Data, Md Abdullah Al Mamun
FIU Electronic Theses and Dissertations
Cancer is a complex molecular process due to abnormal changes in the genome, such as mutation and copy number variation, and epigenetic aberrations such as dysregulations of long non-coding RNA (lncRNA). These abnormal changes are reflected in transcriptome by turning oncogenes on and tumor suppressor genes off, which are considered cancer biomarkers.
However, transcriptomic data is high dimensional, and finding the best subset of genes (features) related to causing cancer is computationally challenging and expensive. Thus, developing a feature selection framework to discover molecular biomarkers for cancer is critical.
Traditional approaches for biomarker discovery calculate the fold change for each …
Investigation Of Carbon-Based Label-Free Electrochemical Aptasensors For Point-Of-Care Cancer Biomarker Detection, Shahrzad Forouzanfar
Investigation Of Carbon-Based Label-Free Electrochemical Aptasensors For Point-Of-Care Cancer Biomarker Detection, Shahrzad Forouzanfar
FIU Electronic Theses and Dissertations
Cancer is the second cause of death, with millions of fatalities every year. The early detection of cancer can tremendously increase the survival chances of the patients. An effective approach for early detection of cancer is developing reliable and relatively cheap biosensors that can quantify the cancer biomarkers from blood samples. These classes of the biosensor are commonly referred to as point-of-care (POC) cancer biomarker biosensors. The label-free electrochemical biosensors based on carbon dravite materials can be feasible for POC cancer biomarker biosensors. The present dissertation aims to design, develop, and optimize carbon-based biosensors for label-free detection of lactic acid …
The Effect Of Proteome And Lipidome On The Behavior Of Membrane Bound Systems In Thermally-Assisted Acoustophoresis, Elnaz Mirtaheri
The Effect Of Proteome And Lipidome On The Behavior Of Membrane Bound Systems In Thermally-Assisted Acoustophoresis, Elnaz Mirtaheri
FIU Electronic Theses and Dissertations
Changes in the biomechanical properties of cells accompanying the development of various pathological conditions have been increasingly reported as biomarkers for various diseases, including cancers. In cancer cells, the membrane properties have been altered compared to their healthy counterparts primarily due to proteomic and lipidomic dysregulations conferred by the underlying pathology. The separation and selective recovery of these cells or extracellular vesicles secreted from such cells is of high diagnostic and prognostic value.
In this dissertation, the research builds on thermally-assisted acoustophoresis technique which was developed in our laboratory for the separation of vesicles of the same size, charge and …
Technobiology Paradigm In Nanomedicine: Treating Cancer With Magnetoelectric Nanoparticles, Emmanuel Stimphil
Technobiology Paradigm In Nanomedicine: Treating Cancer With Magnetoelectric Nanoparticles, Emmanuel Stimphil
FIU Electronic Theses and Dissertations
Today, cancer is the world’s deadliest disease. Despite significant progress to find a cure, especially over the last decade, with immunotherapy rapidly becoming the state of the art, major open questions remain. Each successful therapy is not only limited to a few cancers but also has relatively low specificity to target cancer cells; although cancer cells can indeed be eradicated, many normal cells are sacrificed as collateral damage. To fill this gap, we have developed a class of multiferroic nanostructures known as magnetoelectric nanoparticles (MENs) that can be used to enable externally controlled high-specificity targeted delivery and release of therapeutic …
Towards The Prediction Of Mutations In Genomic Sequences, Juan Carlos Martinez
Towards The Prediction Of Mutations In Genomic Sequences, Juan Carlos Martinez
FIU Electronic Theses and Dissertations
Bio-systems are inherently complex information processing systems. Furthermore, physiological complexities of biological systems limit the formation of a hypothesis in terms of behavior and the ability to test hypothesis. More importantly the identification and classification of mutation in patients are centric topics in today’s cancer research.
Next generation sequencing (NGS) technologies can provide genome-wide coverage at a single nucleotide resolution and at reasonable speed and cost. The unprecedented molecular characterization provided by NGS offers the potential for an individualized approach to treatment. These advances in cancer genomics have enabled scientists to interrogate cancer-specific genomic variants and compare them with the …