Anne E Carpenter
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Explore the profile of Anne E Carpenter including associated specialties, affiliations and a list of published articles.
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190
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14518
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Recent Articles
11.
Weisbart E, Kumar A, Arevalo J, Carpenter A, Cimini B, Singh S
Nat Methods
. 2024 Sep;
21(10):1775-1777.
PMID: 39223397
No abstract available.
12.
van Dijk R, Arevalo J, Babadi M, Carpenter A, Singh S
bioRxiv
. 2024 Aug;
PMID: 39131344
Image-based cell profiling is a powerful tool that compares perturbed cell populations by measuring thousands of single-cell features and summarizing them into profiles. Typically a sample is represented by averaging...
13.
Cimini B, Tromans-Coia C, Stirling D, Sivagurunathan S, Senft R, Ryder P, et al.
Mol Biol Cell
. 2024 Aug;
35(9):pe2.
PMID: 39105698
We herein describe a postdoctoral training program designed to train biologists with microscopy experience in bioimage analysis. We detail the rationale behind the program, the various components of the training...
14.
Arevalo J, Su E, Ewald J, van Dijk R, Carpenter A, Singh S
Nat Commun
. 2024 Aug;
15(1):6516.
PMID: 39095341
High-throughput image-based profiling platforms are powerful technologies capable of collecting data from billions of cells exposed to thousands of perturbations in a time- and cost-effective manner. Therefore, image-based profiling data...
15.
Saha U, Vendruscolo M, Carpenter A, Singh S, Bender A, Seal S
bioRxiv
. 2024 Jul;
PMID: 39005404
Recent advances in machine learning methods for materials science have significantly enhanced accurate predictions of the properties of novel materials. Here, we explore whether these advances can be adapted to...
16.
Seal S, Williams D, Hosseini-Gerami L, Mahale M, Carpenter A, Spjuth O, et al.
Chem Res Toxicol
. 2024 Jul;
37(8):1290-1305.
PMID: 38981058
Drug-induced liver injury (DILI) has been a significant challenge in drug discovery, often leading to clinical trial failures and necessitating drug withdrawals. Over the last decade, the existing suite of...
17.
Liu G, Seal S, Arevalo J, Liang Z, Carpenter A, Jiang M, et al.
ArXiv
. 2024 Jul;
PMID: 38947938
Predicting drug efficacy and safety requires information on biological responses (e.g., cell morphology and gene expression) to small molecule perturbations. However, current molecular representation learning methods do not provide a...
18.
Seal S, Williams D, Hosseini-Gerami L, Mahale M, Carpenter A, Spjuth O, et al.
bioRxiv
. 2024 Jun;
PMID: 38895462
Drug-induced liver injury (DILI) has been significant challenge in drug discovery, often leading to clinical trial failures and necessitating drug withdrawals. The existing suite of in vitro proxy-DILI assays is...
19.
Moser L, Gogoberidze N, Papaleo A, Lucas A, Dao D, Friedrich C, et al.
bioRxiv
. 2024 Jun;
PMID: 38895349
Deep learning has greatly accelerated research in biological image analysis yet it often requires programming skills and specialized tool installation. Here we present Piximi, a modern, no-programming image analysis tool...
20.
Cimini B, Tromans-Coia C, Stirling D, Sivagurunathan S, Senft R, Ryder P, et al.
bioRxiv
. 2024 May;
PMID: 38798545
We herein describe a postdoctoral training program designed to train biologists with microscopy experience in bioimage analysis. We detail the rationale behind the program, the various components of the training...