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Alpha Tom Kodamullil

As seen in: Nature, ScienceDirect, BioRxiv
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Articles

Multi-omics data integration methods and their applications in psychiatric disorders

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By Cross-Disorder Group, Vinay Bharadhwaj, Alpha Tom Kodamullil, Leanna M. Hernandez
| ScienceDirect Verified
The study of psychiatric disorders in the past involved examination of the different systems such as genomics (genetic variants, copy number variations), transcriptomics (gene expression), epigenomics (DNA methylation, chromatin and histone modifications), proteomics (protein expression), metabolomics (metabolite expression), brain networks, and clinical data independently due to the technological limitations.
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A network of transcriptomic signatures identifies novel comorbidity mechanisms between schizophrenia and somatic disorders

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By Youcheng Zhang, Vinay Bharadhwaj, Alpha Tom Kodamullil, Carl Herrmann
| BioRxiv
Abstract The clinical burden of mental illness, in particular schizophrenia and bipolar disorder, are driven by frequent chronic courses and increased mortality, as well as the risk for comorbid conditions such as cardiovascular disease and type 2 diabetes. Evidence suggests an overlap of molecular pathways between psychotic disorders and somatic comorbidities.
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Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets

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By Rebeca Figueiredo, Martin Hofmann-Apitius, Alpha Tom Kodamullil, Tamara Raschka
| BioRxiv
Abstract Distinct gene expression patterns within cells are foundational for the diversity of functions and unique characteristics observed in specific contexts, such as human tissues and cell types. Though some biological processes commonly occur across contexts, by harnessing the vast amounts of available gene expression data, we can decipher the processes that are unique to a specific context.
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