Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Clustering (2)
- Machine learning (2)
- Big data (1)
- Breast cancer classification (1)
- Breast cancer stratification (1)
-
- C23 Pathological Conditions (1)
- Cancer biology (1)
- Computational sciences (1)
- Gene expression (1)
- Genomics (1)
- Healthy human brain (1)
- Immunology (1)
- Microarray (1)
- NMF (1)
- Neurological disorders (1)
- Neurotransmitters (1)
- Non-negative matrix factorization (1)
- Persistence (1)
- SHIV/ SIV (1)
- Signs and Symptoms (1)
- TCGA (1)
- Tissues (1)
- Weighted gene coexpression network analysis (1)
Articles 1 - 4 of 4
Full-Text Articles in Systems Biology
Immunological Factors Associated With Siv/ Shiv Persistence In Diverse Tissue Niches, Omalla A. Olwenyi
Immunological Factors Associated With Siv/ Shiv Persistence In Diverse Tissue Niches, Omalla A. Olwenyi
Theses & Dissertations
The significant challenge towards a successful HIV cure lies in eradicating persistent viral reservoirs across diverse tissue niches. As a result, HIV-infected individuals have to resort to lifelong antiretroviral therapy. Recent news of supposed HIV eradication in a second patient has further re-invigorated the fields of HIV cure. However, a few barriers remain, such as the lack of currently available assays to accurately quantify viral reservoirs, limited information on cellular factors associated with persistence, and varied dynamics of the viral reservoir in various body compartments. Lastly, HIV-infected individuals live different lifestyles stemming from comorbid substance abuse including consumption of morphine, …
Development Of In-Silico Pipelines For Identification And Characterization Of Biomarker Panels And Therapeutic Interventions In Gastro-Intestinal (Gi) Cancers, Pranita Atri
Theses & Dissertations
Gastro-intestinal (GI) malignancies, including gastric, colorectal, and pancreatic cancers, have maintained their high overall mortality due to a lack of prognostic and diagnostic biomarkers and potential therapeutic modalities. While efforts have been made to improve both early detection and therapeutic interventions in these cancers, failure of conventional approaches have proven to be a big challenge, and alternate approaches are needed. Computational biology approaches owing to lesser time and more per target success rate offer a unique solution here. The current study explored the use of computational biology techniques to study the various aspects relating to GI malignancies. First, we sought …
Global Gene Expression Profiling Of Healthy Human Brain And Its Application In Studying Neurological Disorders, Simarjeet K. Negi
Global Gene Expression Profiling Of Healthy Human Brain And Its Application In Studying Neurological Disorders, Simarjeet K. Negi
Theses & Dissertations
The human brain is the most complex structure known to mankind and one of the greatest challenges in modern biology is to understand how it is built and organized. The power of the brain arises from its variety of cells and structures, and ultimately where and when different genes are switched on and off throughout the brain tissue. In other words, brain function depends on the precise regulation of gene expression in its sub-anatomical structures. But, our understanding of the complexity and dynamics of the transcriptome of the human brain is still incomplete. To fill in the need, we designed …
Classification Of Breast Cancer Patients Using Somatic Mutation Profiles And Machine Learning Approaches, Suleyman Vural
Classification Of Breast Cancer Patients Using Somatic Mutation Profiles And Machine Learning Approaches, Suleyman Vural
Theses & Dissertations
The high degree of heterogeneity observed in breast cancers makes it very difficult to classify cancer patients into distinct clinical subgroups and consequently limits the ability to devise effective therapeutic strategies. In this study, we explore the use of gene mutation profiles to classify, characterize and predict the subgroups of breast cancers. We analyzed the whole exome sequencing data from 358 ethnically similar breast cancer patients in The Cancer Genome Atlas (TCGA) project. Identified somatic and non-synonymous single nucleotide variants were assigned a quantitative score (C-score) that represents the extent of negative impact on the function of the gene. Using …