Thesis Documents 16
Identification of gene mutations involved in drug resistance in liver cancer using RNA-Seq data analysis
Uncovering Hidden Connections and Functional Modules via pyPARAGON: a Hybrid Approach for Network Contextualization
Microbiome data analysis using compositional data approach
Species classification from short genomic reads using feedforwardneural networks
GENOTYPE CATALOG FOR THE ANALYSIS OF DRUG-DRUG INTERACTIONS
A deep learning based protein representation model forlow-data protein function prediction
Prediction of Covid-19 risk of a person by analyzing computed tomography images using convolutional neural networks
Cyber threat intelligence sharing technologies and threat sharing model using blockchain
DETECTION OF CIRCULAR RNAS IN HEPATOCELLULARCARCINOMA TREATED WITH DIFFERENT THERAPEUTIC AGENTSUSING RNA-SEQ DATA
Biochemical modeling of logic gates in prokaryotic transcriptional regulation
Network intrusion detection with a deep learning approach
An integrative framework for clinical diagnosis and knowledge discovery from exome sequencing data
Identification of SNP markers associated with resistance to Pyrenophora teres f. teres on barley
Proposing 3D simulation of immune system cell micro-level responses in virtual and mixed reality environments: A comparative analysis
Investigation of dna methylation changes in brain and blood associated with excessive alcohol consumption behavior in wistar rats
Finding potential serious adverse events of drugs by using clinical trial data and machine learning tools