Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (5)
- Computer Sciences (4)
- Biochemistry, Biophysics, and Structural Biology (3)
- Molecular Biology (3)
- Artificial Intelligence and Robotics (2)
-
- Biology (2)
- Medicine and Health Sciences (2)
- Biochemistry (1)
- Biostatistics (1)
- Cell Biology (1)
- Cell and Developmental Biology (1)
- Chemistry (1)
- Diseases (1)
- Genetics (1)
- Genetics and Genomics (1)
- Immunology and Infectious Disease (1)
- Immunology of Infectious Disease (1)
- Integrative Biology (1)
- Medical Specialties (1)
- Microbiology (1)
- Nervous System Diseases (1)
- Oncology (1)
- Pharmacology (1)
- Pharmacology, Toxicology and Environmental Health (1)
- Statistics and Probability (1)
- Virology (1)
- Virus Diseases (1)
- Institution
- Keyword
-
- Bioinformatics (3)
- Ancient introgression (1)
- Artemia franciscana (1)
- Astrocytes (1)
- Biomarkers (1)
-
- Biomarkers. Breast cancer. Classification. Lymph nodes. Machine learning. Neural network (1)
- Breast cancer (1)
- Chaperone (1)
- Classification (1)
- Dehydration (1)
- Drug repurposing (1)
- Equine genomics (1)
- GATA-4 (1)
- Hungarian algorithm (1)
- Interaction (1)
- Introgression (1)
- JCPyV (1)
- Late embryogenesis abundant proteins (1)
- Lymph nodes (1)
- Machine learning (1)
- Neural network (1)
- PML (1)
- Perturbation gene expression (1)
- Phase separation (1)
- Population genetics (1)
- Preservation (1)
- Protein-protein interaction (PPI) networks (1)
- RNA sequencing (1)
- Reporting Odds Ratio (1)
- Stress tolerance (1)
Articles 1 - 8 of 8
Full-Text Articles in Bioinformatics
Computational And Biochemical Characterizations Of Anhydrobiosis-Related Intrinsically Disordered Proteins., Brett R. Janis
Computational And Biochemical Characterizations Of Anhydrobiosis-Related Intrinsically Disordered Proteins., Brett R. Janis
Electronic Theses and Dissertations
Anhydrobiosis is the remarkable phenomenon of “life without water”. It is a common technique found in plant seeds, and a rare technique utilized by some animals to temporarily stop the clock of life and enter a stasis for up to several millennia by removing all of their cellular water. If this phenomenon can be replicated, then biological and medical materials could be stored at ambient temperatures for centuries, which would address research challenges as well as enhance the availability of medicine in areas of the world where refrigeration, freezing, and cold-chain infrastructure are not developed or infeasible. Furthermore, modifying crop …
A Method For Identifying Ancient Introgression Between Caballine And Non-Caballine Equids Using Whole Genome High Throughput Data., Kalpani De Silva
A Method For Identifying Ancient Introgression Between Caballine And Non-Caballine Equids Using Whole Genome High Throughput Data., Kalpani De Silva
Electronic Theses and Dissertations
Introgression is one of the main mechanisms that transfer adapted alleles between species. The advantageous variants will get positively selected and retained in the recipient population while rest of the variants undergo negative selection. When analyzing horse genome, two alleles were found in CXCL16 gene, one associated with susceptibility and one with resistance to developing persistent shedding of the Equine Arteritis Virus. The two alleles differ by 4 non-synonymous variants in exon 1 of the gene. Comparison with 3 non-caballine equids (zebras, asses and hemiones) revealed that one haplotype was almost identical to the haplotype found in non-caballines while the …
A Network-Based Approach For Computational Drug Repurposing On Cancer Data, Ann Reba, Thomas Alexander
A Network-Based Approach For Computational Drug Repurposing On Cancer Data, Ann Reba, Thomas Alexander
Electronic Theses and Dissertations
In this thesis, we are interested in finding the best drugs that can be repurposed for the disease and able to find the adverse effects such drugs that are FDA-Approved. Developing an effective drug can be a time-consuming and expensive crucible method. Network-based machine learning methods are used for predicting a given drug for A that can be used for B. It aims at finding new indications for already existing drugs and therefore increases the available therapeutic choices at a fraction of the cost of new drug development. The perturbation gene expression data corresponding to the MCF7 cell line was …
Deep Learning Applications In Medical Bioinformatics, Ziad Omar
Deep Learning Applications In Medical Bioinformatics, Ziad Omar
Electronic Theses and Dissertations
After a patient’s breast cancer diagnosis, identifying breast cancer lymph node metastases is one of the most important and critical factor that is directly related to the patient’s survival. The traditional way to examine the existence of cancer cells in the breast lymph nodes is through a lymph node procedure, biopsy. The procedure process is time-consuming for the patient and the provider, costly, and lacks accuracy as not every lymph node is examined. The intent of this study is to develop an artificial neural network (ANNs) that would map genetic biomarkers to breast lymph node classes using ANNs. The neural …
Deciphering The Perpetual Fight Between Virus And Host: Utilizing Bioinformatics To Elucidate The Host's Genetic Mechanisms That Influence Jc Polyomavirus Infection, Michael P. Wilczek
Deciphering The Perpetual Fight Between Virus And Host: Utilizing Bioinformatics To Elucidate The Host's Genetic Mechanisms That Influence Jc Polyomavirus Infection, Michael P. Wilczek
Electronic Theses and Dissertations
JC polyomavirus (JCPyV) is a human-specific pathogen that infects 50-80% of the population, and can cause a deadly, demyelinating disease, known as progressive multifocal leukoencephalopathy (PML). In most of the population, JCPyV persistently infects the kidneys but during immunosuppression, it can reactivate and spread to the central nervous system (CNS), causing PML. In the CNS, JCPyV targets two cell types, astrocytes, and oligodendrocytes. Due to the hallmark pathology of oligodendrocyte lysis observed in disease, oligodendrocytes were thought to be the main cell type involved during JCPyV infection. However, recent evidence suggests that astrocytes are targeted by the virus and act …
A Network-Based Approach For Computational Drug Repurposing On Cancer Data, Ann Reba Thomas Alexander
A Network-Based Approach For Computational Drug Repurposing On Cancer Data, Ann Reba Thomas Alexander
Electronic Theses and Dissertations
In this thesis, we are interested in finding the best drugs that can be repurposed for the disease and able to find the adverse effects such drugs that are FDA-Approved. Developing an effective drug can be a time-consuming and expensive crucible method. Network-based machine learning methods are used for predicting a given drug for A that can be used for B. It aims at finding new indications for already existing drugs and therefore increases the available therapeutic choices at a fraction of the cost of new drug development. The perturbation gene expression data corresponding to the MCF7 cell line was …
Deep Learning Applications In Medical Bioinformatics, Ziad Omar
Deep Learning Applications In Medical Bioinformatics, Ziad Omar
Electronic Theses and Dissertations
After a patient’s breast cancer diagnosis, identifying breast cancer lymph node metastases is one of the most important and critical factor that is directly related to the patient’s survival. The traditional way to examine the existence of cancer cells in the breast lymph nodes is through a lymph node procedure, biopsy. The procedure process is time-consuming for the patient and the provider, costly, and lacks accuracy as not every lymph node is examined. The intent of this study is to develop an artificial neural network (ANNs) that would map genetic biomarkers to breast lymph node classes using ANNs. The neural …
Simulation Of The Interaction Between Striated Muscle Unc-45 And Transcription Factor Gata-4, Drake Alexander Duncan
Simulation Of The Interaction Between Striated Muscle Unc-45 And Transcription Factor Gata-4, Drake Alexander Duncan
Electronic Theses and Dissertations
Striated Muscle UNC-45, also known as UNC-45b, is an important protein that acts as a chaperone for myosin in cardiac and skeletal muscles, binding to myosin at its C-terminal UCS domain and regulating its assembly into thick filaments and sarcomeric structures. The UCS domain contains a large loop that is believed to be the first point of interaction between myosin and UNC-45b. GATA-4 is an essential transcription factor that facilitates transcription of several genes in cardiac development, particularly alpha-heavy chain myosin in heart tissue. Recently, studies have shown that there is interaction of GATA-4 with UNC-45b and that GATA-4 binds …