Safiye Celik

According to our database, Safiye Celik authored at least 7 papers between 2014 and 2025.

Collaborative distances:

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

2025

RxRx3-core: Benchmarking drug-target interactions in High-Content Microscopy.

Oren Kraus, Federico Comitani, John Urbanik, Kian Kenyon-Dean, Lakshmanan Arumugam, Saber Saberian, Cas Wognum, Safiye Celik, Imran S. Haque

CoRR, March, 2025

2024

Building, benchmarking, and exploring perturbative maps of transcriptional and morphological data.

Safiye Celik, Jan-Christian Hütter, Sandra Melo Carlos, Nathan H. Lazar, Rahul Mohan, Conor Tillinghast, Tommaso Biancalani, Marta M. Fay, Berton Earnshaw, Imran S. Haque

PLoS Comput. Biol., 2024

ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy.

Kian Kenyon-Dean, Zitong Jerry Wang, John Urbanik, Konstantin Donhauser, Jason S. Hartford, Saber Saberian, Nil Sahin, Ihab Bendidi, Safiye Celik, Marta M. Fay, Juan Sebastian Rodriguez Vera, Imran S. Haque, Oren Kraus

CoRR, 2024

Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology.

Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam Fallah, Peter McLean, Jess Leung, Vasudev Sharma, Ayla Khan, Jia Balakrishnan, Safiye Celik, Dominique Beaini, Maciej Sypetkowski, Chi Vicky Cheng, Kristen Morse, Maureen Makes, Ben Mabey, Berton Earnshaw

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Masked autoencoders are scalable learners of cellular morphology.

Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam Fallah, Peter McLean, Jess Leung, Vasudev Sharma, Ayla Khan, Jia Balakrishnan, Safiye Celik, Maciej Sypetkowski, Chi Vicky Cheng, Kristen Morse, Maureen Makes, Ben Mabey, Berton Earnshaw

CoRR, 2023

2018

High-dimensional machine learning for drug target discovery and precision medicine.

Safiye Celik

PhD thesis, 2018

2014

Efficient Dimensionality Reduction for High-Dimensional Network Estimation.

Safiye Celik, Benjamin A. Logsdon, Su-In Lee

Proceedings of the 31th International Conference on Machine Learning, 2014