Jha, Anupama

Enhanced integrated gradients: improving interpretability of deep learning models using splicing codes as a case study

Jha, A., K. Aicher, J., R. Gazzara, M., Singh, D., & Barash, Y. (2020) · Genome Biology

Explainable Artificial Intelligence (XAI)RNA Research and Splicing

Cited by 93

Multi-trait association studies discover pleiotropic loci between Alzheimer’s disease and cardiometabolic traits

Program, T. V. M. V., Bone, W. P., Siewert, K. M., Jha, A., Klarin, D., Damrauer, S. M., Chang, K.-M., Tsao, P. S., Assimes, T. L., Ritchie, M. D., et al. (2021) · Alzheimer's Research & Therapy

Genetic Associations and EpidemiologyAlzheimer's disease research and treatments

Cited by 41

Identifying common transcriptome signatures of cancer by interpreting deep learning models

Jha, A., Quesnel-Vallières, M., Wang, D., Thomas-Tikhonenko, A., Lynch, K. W., & Barash, Y. (2022) · Genome Biology

Gene expression and cancer classificationCancer-related molecular mechanisms research

Cited by 39