Sasse, A., Chikina, M. and Mostafavi, S. Unlocking gene regulation with sequence-to-function models. Nature Methods. 2024, 21, 1374-1377. https://doi.org/10.1038/s41592-024-02331-5

Sasse, A. Multi-modal deep learning models for discovering the cis-regulatory code of stimulated immunocytes, Talk, Machine Learning and Computational Biology (MLCB), 2023, Youtube, Seattle, WA, USA

Perchlik, M., Sasse, A., Mostafavi, S., Fields, S., Cuperus, J.T., Impact on splicing in Saccharomyces cerevisiae of random 50-base sequences inserted into an intron. RNA (New York, N.Y.). 2024, vol. 30,1 52-67

Sasse, A.*, Ng, B.*, Spiro, A.E.*, Tasaki, S., Bennett, D.A., Gaiteri C., De Jager P.L., Chikina M., Mostafavi S., Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings. Nature Genetics. 2023, 55, 2060-2064

Sasse, A., Chikina M., Mostafavi S., Quick and effective approximation of in silico saturation mutagenesis experiments with first-order Taylor expansion. bioRxiv (accepted at RECOMB-seq proceedings, iScience). 2023, 2023.11.10.566588

Baysoy, A., Seddu, K., Salloum, T., Caleb D.A., Lee J.J, Yang L., Gal-Oz S., Ner-Gaon H., Tellier J., Millan A., Sasse A., Brown B., Lanier L.L., Shay T., Nutt S., Dwyer D., Benoist C., Immunological Genome Project Consortium, The interweaved signatures of common-gamma-chain cytokines across immunologic lineages. Journal of Experimental Medicine, 2023, 220 (7), e20222052

Sasse, A., Inferring RNA Sequence Specificities from Protein Sequences to Characterize Post-Transcriptional Regulation in Eukaryotes (Doctoral dissertation, University of Toronto (Canada)). 2022, ProQuest Dissertations & Theses Global. (2645859384). Find here

Lambert, S.A., Yang, A.W.H, Sasse, A., Cowley, G., Albu, M., Caddick M.X., Morris Q.D., Weirauch M.T., Hughes T.R., Similarity Regression predicts evolution of transcription factor sequence specificity. Nature Genetics. 2019, 51, 981-989

Sasse A., Laverty K.U., Hughes T.R., Morris Q.D., Motif models for RNA-binding proteins. Current Opinion in Structural Biology. 2018, 53, 115-123

Sasse A., de Vries, S.J., Schindler C.E.M., de Beauchene, I.C., Zacharias M., Rapid Design of Knowledge-Based Scoring Potentials for Enrichment of Near-Native Geometries in Protein-Protein Docking. PloS one, 2017, 12(1), p.e0170625.

Schindler C.E.M., de Vries, S.J., Sasse A., Zacharias M. ,SAXS Data Alone can Generate High-Quality Models of Protein-Protein Complexes. Structure, 2016, 24(8), pp.1387-1397.

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