Author

M. Ester

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

A. Cherkasov· 1 shared A. Khoeini· 1 shared C. Collins· 1 shared F. Sar· 1 shared N. Lallous· 1 shared O. Snow· 1 shared Y.-Y. Lin· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperCancer Biology

A. Cherkasov

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

scMUSCL: Multi-Source Transfer Learning for Clustering scRNA-seq Data

A. Khoeini, F. Sar, Y.-Y. Lin, C. Collins, M. Ester

scMUSCL improves scRNA-seq clustering by transferring knowledge from multiple annotated datasets without requiring batch correction or prior cluster number knowledge.

bioRxiv · Apr 22, 2024Cell Biology

Deep Learning Modelling of Androgen Receptor Responses to Prostate Cancer Therapies

O. Snow, N. Lallous, M. Ester, A. Cherkasov

This study develops a deep neural network to predict Androgen Receptor mutant responses to prostate cancer therapies, showing improved accuracy over other machine learning methods.

bioRxiv · Jan 15, 2020Cancer Biology