Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Bioinformatics (2)
- Biotechnology (2)
- Animal Sciences (1)
- Arts and Humanities (1)
- Atomic, Molecular and Optical Physics (1)
-
- Bacteriology (1)
- Biochemistry (1)
- Biochemistry, Biophysics, and Structural Biology (1)
- Biology (1)
- Cell and Developmental Biology (1)
- Creative Writing (1)
- Digital Humanities (1)
- Engineering Physics (1)
- English Language and Literature (1)
- Fiction (1)
- Genetics (1)
- Genomics (1)
- Integrative Biology (1)
- Legal Studies (1)
- Literature in English, North America (1)
- Literature in English, North America, Ethnic and Cultural Minority (1)
- Medical Biotechnology (1)
- Medical Sciences (1)
- Medicine and Health Sciences (1)
- Microbiology (1)
- Molecular Biology (1)
- Molecular Genetics (1)
- Institution
Articles 1 - 4 of 4
Full-Text Articles in Computational Biology
Detecting Cancer Genes Using Graph Neural Networks, Marvin Masabo Nkaka
Detecting Cancer Genes Using Graph Neural Networks, Marvin Masabo Nkaka
Posters - 2026
• Cancer survival prediction is challenging due to the complexity of genomic data and limited samples especially for rarer cancer types. • To address this challenge, we developed an Artificial Neural Network (ANN) model for survival analysis using RNA-sequencing gene expression data from The Cancer Genome Atlas (TCGA). • Moreover, a key concept we investigate was how transfer learning enhanced our model’s performance especially for rarer cancer types difficult to perform accurate survival analysis due to their limited samples.
Identifying Rna Splicing Changes During Alcohol Withdrawal Using An Optimized Rna-Seq Analysis Pipeline, Yasaswi Veera, Luana Martins De Carvalho, Amy Lasek
Identifying Rna Splicing Changes During Alcohol Withdrawal Using An Optimized Rna-Seq Analysis Pipeline, Yasaswi Veera, Luana Martins De Carvalho, Amy Lasek
Undergraduate Research Posters
Alcohol use disorder (AUD) causes long-lasting changes in brain gene expression and RNA splicing, particularly in the ventral hippocampus. This study analyzes RNA-Seq data from rats exposed to chronic alcohol and withdrawal to identify transcript-level and splicing alterations. An optimized RNA-Seq pipeline using STAR, FeatureCounts, edgeR, and WGCNA improved efficiency by 25-40% while maintaining consistency across 25 datasets. Results reveal changes in neural signaling and stress-response pathways associated with withdrawal. This work provides both biological insight into AUD and a reproducible computational framework for transcriptomic analysis.
Contemporary Vs. Traditional Dna-Based Mutation Testing To Detect Hereditary Breast And Ovarian Cancer Syndrome (Hboc) In Women: A Meta Narrative Review, Hannah Olivia Cantu, Jacob Hipp, Nyela Y. Lopez, Duc Duy Nguyen
Contemporary Vs. Traditional Dna-Based Mutation Testing To Detect Hereditary Breast And Ovarian Cancer Syndrome (Hboc) In Women: A Meta Narrative Review, Hannah Olivia Cantu, Jacob Hipp, Nyela Y. Lopez, Duc Duy Nguyen
Research Methods Poster Session 2024
No abstract provided.
Annual Faculty Research Symposium 2022, Oakwood University
Annual Faculty Research Symposium 2022, Oakwood University
Proceedings
No abstract provided.