Iman Tavassoly

The paper analyzes the Chaos Game Representation of genomic sequences to assess ergodicity and finds that CGRs are non-ergodic due to distribution properties of nucleotide sequences.

The paper applies matrix factorization methods to reduce high-dimensional multi-omic data in systems pharmacology, identifying predictive gene signatures for drug response.

The paper constructs a tissue- and organ-based subcellular-function atlas of obesity-related genes and pathways using publicly available datasets and integration methods.

The paper develops a mathematical model to explain how rapamycin differentially inhibits mTORC1 and mTORC2 based on Le Chatelier's principle.

The paper identifies genomic signatures predicting allopurinol and combination therapy responses in lung cancer using TCGA, CCLE, and patient-derived tumor data.