Publications
ZFP36L2 orchestrates stress-adaptive plasticity in regeneration and cancer
Authors: Q. Jiang, M. S. Raghavan, A. M. Rodriguez, M. Lallo, I. Baali, et al., Q. Morris, J. M. Chan, K. Ganesh
Nature • 2026
The RNA-binding protein ZFP36L2 acts as a stress-responsive orchestrator of dedifferentiation in intestinal regeneration and colorectal cancer metastasis.
A dynamic RNA-binding protein module coordinates translation of leukemic stemness programs
Authors: X. Xie*, F. Herrejon Chavez*, I. Baali*, et al., D. T. T. Nguyen, M. G. Kharas
In review • 2026
A cooperative RBP module centered on MSI2 controls translation of a leukemic stem-cell program in AML. Co-first author.
mRNABench: a curated benchmark for mature mRNA property and function prediction
Authors: R. Shi, T. Dalal, P. Fradkin, D. Koyyalagunta, I. Baali, B. Wang, Q. Morris
Gen² Workshop on Generative AI in Genomics, ICLR • 2026
A benchmarking suite of curated datasets and prediction tasks for evaluating mature mRNA representations from nucleotide foundation models.
Uncovering the HOXA9 translational regulatory complex that promotes AML leukemic stem cells
Authors: X. Xie*, F. Herrejon Chavez*, I. Baali*, et al., M. G. Kharas
Blood (ASH Annual Meeting abstract) • 2024
Identification of RNA-binding proteins that bind MSI2 and co-regulate HOXA9-associated programs in leukemic stem cells.
DriveWays: a method for identifying possibly overlapping driver pathways in cancer
Authors: I. Baali, C. Erten, H. Kazan
Scientific Reports • 2020
A seed-and-extend heuristic that identifies overlapping cancer driver modules from a protein interaction network and multi-omics data.
MEXCOwalk: mutual exclusion and coverage based random walk to identify cancer modules
Authors: R. Ahmed, I. Baali, C. Erten, E. Hoxha, H. Kazan
Bioinformatics • 2020
A random-walk method that combines mutual exclusivity and coverage to discover cancer driver modules.
Machine learning for wearable IoT-based applications: a survey
Authors: F. Al-Turjman, I. Baali
Transactions on Emerging Telecommunications Technologies • 2019
A survey of machine learning methods applied to wearable Internet-of-Things applications.
Predicting clinical outcomes in neuroblastoma with genomic data integration
Authors: I. Baali, A. E. Acar, T. Aderinwale, S. HafezQorani, H. Kazan
Biology Direct • 2018
Integration of gene expression and aCGH data to improve prediction of survival and clinical outcome in neuroblastoma.