Ali Saadat Varnosfaderanii

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Genetic variation plays a crucial role in human disease susceptibility and molecular pathophysiology. This thesis explores genetic determinants of disease using advanced computational approaches, including statistical modeling, network analysis, and deep l ...

Background and Aims:The clinical spectrum of human infection by HEV ranges from asymptomatic to severe acute hepatitis. Furthermore, HEV can cause diverse neurological manifestations, especially Parsonage-Turner syndrome. Here, we used a large-scale human ...

In addition to encoding proteins, mRNAs have context-specific regulatory roles that contribute to many cellular processes. However, uncovering new mRNA functions is constrained by limitations of traditional biochemical and computational methods. In this Ro ...

Being able to broadly predict the function of novel metabolites based on their structures has applications in systems biology, environmental monitoring and drug discovery. To date, machine learning models aiming to predict functional characteristics of met ...

Ali Saadat Varnosfaderanii

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Learning the language of the genome: AI- and data-driven decoding of genetic variants and disease mechanisms

Inborn errors of type I interferon immunity in patients with symptomatic acute hepatitis E

Decoding the Interactions and Functions of Non-coding Rna with Artificial Intelligence

Structure-based metabolite function prediction using graph neural networks

Inborn Errors of Type I Interferon Immunity in Patients with Severe Acute Hepatitis E

Inborn errors of type I interferon immunity in patients with severe acute hepatitis E

Host genomic susceptibility to severe respiratory syncytial virus infection