Jeffrey J Saucerman

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Left Ventricular

Idiopathic Pulmonary Fibrosis

Machine Learning

Extracellular Matrix

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

bioRxiv : the preprint server for biology

Biomechanics and modeling in mechanobiology

The Journal of physiology

This page only lists publications with an associated author ORCID identifier.

Publications

Anders R Nelson, Steven L Christiansen, Kristen M Naegle, Jeffrey J Saucerman
Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. Proceedings of the National Academy of Sciences of the United States of America 121 (5) (2024)
Anders R Nelson, Steven L Christiansen, Kristen M Naegle, Jeffrey J Saucerman
Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. Proceedings of the National Academy of Sciences of the United States of America 121 (5) (2024)
Anders R Nelson, Steven L Christiansen, Kristen M Naegle, Jeffrey J Saucerman
Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. Proceedings of the National Academy of Sciences of the United States of America 121 (5) (2024)
Anders R Nelson, Steven L Christiansen, Kristen M Naegle, Jeffrey J Saucerman
Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. Proceedings of the National Academy of Sciences of the United States of America 121 (5) (2024)
Anders R Nelson, Steven L Christiansen, Kristen M Naegle, Jeffrey J Saucerman
Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. Proceedings of the National Academy of Sciences of the United States of America 121 (5) (2024)
Anders R Nelson, Steven L Christiansen, Kristen M Naegle, Jeffrey J Saucerman
Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. Proceedings of the National Academy of Sciences of the United States of America 121 (5) (2024)
Matthew W Van de Graaf, Taylor G Eggertsen, Angela C Zeigler, Philip M Tan, Jeffrey J Saucerman
Benchmarking of protein interaction databases for integration with manually reconstructed signaling network models. The Journal of physiology (2023)
Anders R Nelson, Steven L Christiansen, Kristen M Naegle, Jeffrey J Saucerman
Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. bioRxiv : the preprint server for biology (2023)
Anders R Nelson, Steven L Christiansen, Kristen M Naegle, Jeffrey J Saucerman
Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. bioRxiv : the preprint server for biology (2023)
Anders R Nelson, Steven L Christiansen, Kristen M Naegle, Jeffrey J Saucerman
Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. bioRxiv : the preprint server for biology (2023)
Kyoko Yoshida, Jeffrey J Saucerman, Jeffrey W Holmes
Multiscale model of heart growth during pregnancy: integrating mechanical and hormonal signaling. Biomechanics and modeling in mechanobiology 21 (4) (2022)
Xiaji Liu, Jingyuan Zhang, Angela C Zeigler, Anders R Nelson, Merry L Lindsey, Jeffrey J Saucerman
Network Analysis Reveals a Distinct Axis of Macrophage Activation in Response to Conflicting Inflammatory Cues. Journal of immunology (Baltimore, Md. : 1950) 206 (4) (2021)
Ali Khalilimeybodi, Alexander M Paap, Steven L M Christiansen, Jeffrey J Saucerman
Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy. PLoS computational biology 16 (12) (2020)