Shrikumar, Avanti

Learning Important Features Through Propagating Activation Differences

Shrikumar, A., Greenside, P., & Kundaje, A. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 2,761

Opportunities and obstacles for deep learning in biology and medicine

Ching, T., Himmelstein, D. S., Beaulieu-Jones, B. K., Kalinin, A. A., Do, B. T., Way, G. P., Ferrero, E., Agapow, P.-M., Zietz, M., Hoffman, M. M., et al. (2018) · Journal of The Royal Society Interface

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 2,310

Base-resolution models of transcription-factor binding reveal soft motif syntax

Avsec, Ž., Weilert, M., Shrikumar, A., Krueger, S., Alexandari, A., Dalal, K., Fropf, R., McAnany, C., Gagneur, J., Kundaje, A., et al. (2021) · Nature Genetics

Genomics and Chromatin DynamicsGene Regulatory Network Analysis

Cited by 610

Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5.6.5

Shrikumar, A., Tian, K., Avsec, Ž., Shcherbina, A., Banerjee, A., Sharmin, M., Nair, S., & Kundaje, A. (2018) · arXiv

Genomics and Chromatin DynamicsGenomics and Phylogenetic Studies

Cited by 229