Concepedia

Rebecca Boiarsky

RB

6

Publications

154

Citations

6

H-Index

2020

Active since

Affiliations

Broad Institute(Current)

Harvard University

Massachusetts Institute of Technology

Rebecca Boiarsky is an author at Broad Institute specializing in pre-training, deep learning, and medicine.

Top concepts

MedicineEngineeringData SciencePre-trainingDeep LearningMachine LearningFoundation ModelsCell BiologyBioinformaticsRna Sequencing

Publications per year

2020–2024

6

Publications

6

Single cell characterization of myeloma and its precursor conditions reveals transcriptional signatures of early tumorigenesis

Rebecca Boiarsky, Nicholas J. Haradhvala, Jean-Baptiste Alberge et al. · Nature Communications · 2022 · 61 citations · Full text

A Deep Dive into Single-Cell RNA Sequencing Foundation Models

Rebecca Boiarsky, Nalini Singh, Alejandro Buendia et al. · 2023 · 44 citations · Full text

Deep Dive, Engineering, Machine Learning +21

Deeper evaluation of a single-cell foundation model

Rebecca Boiarsky, Nalini Singh, Alejandro Buendia et al. · Nature Machine Intelligence · 2024 · 14 citations

Deep Contextual Clinical Prediction with Reverse Distillation

Rohan Kodialam, Rebecca Boiarsky, Justin Lim et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 13 citations · Full text

Structured Prediction, Engineering, Machine Learning +16

Humanized C3 Mouse: A Novel Accelerated Model of C3 Glomerulopathy

Kishor Devalaraja‐Narashimha, Karoline A. Meagher, Yifan Luo et al. · Journal of the American Society of Nephrology · 2020 · 11 citations · Full text

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