Alisandra Kaye Denton

According to our database, Alisandra Kaye Denton authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards Autonomous Mechanistic Reasoning in Virtual Cells.

Yunhui Jang, Lu Zhu, Jake Fawkes, Alisandra Kaye Denton, Dominique Beaini, Emmanuel Noutahi

CoRR, April, 2026

2025

TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction.

Frederik Wenkel, Wilson Tu, Cassandra Masschelein, Hamed Shirzad, Cian Eastwood, Shawn Whitfield, Ihab Bendidi, Craig Russell, Liam Hodgson, Yassir El Mesbahi, Jiarui Ding, Marta M. Fay, Berton Earnshaw, Emmanuel Noutahi, Alisandra Kaye Denton

CoRR, May, 2025

Virtual Cells: Predict, Explain, Discover.

Emmanuel Noutahi, Jason S. Hartford, Prudencio Tossou, Shawn Whitfield, Alisandra Kaye Denton, Cas Wognum, Kristina Ulicna, Michael Craig, Jonathan Hsu, Michael Cuccarese, Emmanuel Bengio, Dominique Beaini, Christopher Gibson, Daniel Cohen, Berton Earnshaw

CoRR, May, 2025

A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features.

Ihab Bendidi, Yassir El Mesbahi, Alisandra Kaye Denton, Karush Suri, Kian Kenyon-Dean, Auguste Genovesio, Emmanuel Noutahi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all.

Ihab Bendidi, Shawn Whitfield, Kian Kenyon-Dean, Hanene Ben Yedder, Yassir El Mesbahi, Emmanuel Noutahi, Alisandra Kaye Denton

CoRR, 2024

2021

Helixer: cross-species gene annotation of large eukaryotic genomes using deep learning.

Felix Stiehler, Marvin Steinborn, Stephan Scholz, Daniela Dey, Andreas P. M. Weber, Alisandra Kaye Denton

Bioinform., 2021