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Anne E Carpenter

Showing results (31-40 of 210) with videos related to

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Molecular and Cellular Biology|January 20, 2005
Common effects of acidic activators on large-scale chromatin structure and transcriptionAnne E Carpenter, Sevinci Memedula, Matthew J Plutz, et al.
Nature Reviews. Drug Discovery|December 23, 2020
Image-based profiling for drug discovery: due for a machine-learning upgrade?Srinivas Niranj Chandrasekaran, Hugo Ceulemans, Justin D Boyd, et al.
Arxiv|November 24, 2025
cubic: CUDA-accelerated 3D Bioimage ComputingAlexandr A Kalinin, Anne E Carpenter, Shantanu Singh, et al.
Nature Communications|May 9, 2019
Capturing single-cell heterogeneity via data fusion improves image-based profilingMohammad H Rohban, Hamdah S Abbasi, Shantanu Singh, et al.
Methods (San Diego, Calif.)|December 22, 2015
Quantifying co-cultured cell phenotypes in high-throughput using pixel-based classificationDavid J Logan, Jing Shan, Sangeeta N Bhatia, et al.
Plos Computational Biology|February 25, 2022
Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmeticYuen Ler Chow, Shantanu Singh, Anne E Carpenter, et al.
Molecular Endocrinology (Baltimore, Md.)|April 16, 2005
Distinctive actions of membrane-targeted versus nuclear localized estrogen receptors in breast cancer cellsDeshanie Rai, Antonina Frolova, Jonna Frasor, et al.
Biorxiv : the Preprint Server for Biology|August 12, 2024
Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learningRobert van Dijk, John Arevalo, Mehrtash Babadi, et al.
Journal of Biomolecular Screening|September 30, 2011
Workflow and metrics for image quality control in large-scale high-content screensMark-Anthony Bray, Adam N Fraser, Thomas P Hasaka, et al.
Nature Reviews. Methods Primers|September 1, 2023
Imaging flow cytometry: a primerPaul Rees, Huw D Summers, Andrew Filby, et al.
Pageof 21

Showing results (31-40 of 210) with videos related to

Sort By:
Pageof 21
Molecular and Cellular Biology|January 20, 2005
Common effects of acidic activators on large-scale chromatin structure and transcriptionAnne E Carpenter, Sevinci Memedula, Matthew J Plutz, et al.
Nature Reviews. Drug Discovery|December 23, 2020
Image-based profiling for drug discovery: due for a machine-learning upgrade?Srinivas Niranj Chandrasekaran, Hugo Ceulemans, Justin D Boyd, et al.
Arxiv|November 24, 2025
cubic: CUDA-accelerated 3D Bioimage ComputingAlexandr A Kalinin, Anne E Carpenter, Shantanu Singh, et al.
Nature Communications|May 9, 2019
Capturing single-cell heterogeneity via data fusion improves image-based profilingMohammad H Rohban, Hamdah S Abbasi, Shantanu Singh, et al.
Methods (San Diego, Calif.)|December 22, 2015
Quantifying co-cultured cell phenotypes in high-throughput using pixel-based classificationDavid J Logan, Jing Shan, Sangeeta N Bhatia, et al.
Plos Computational Biology|February 25, 2022
Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmeticYuen Ler Chow, Shantanu Singh, Anne E Carpenter, et al.
Molecular Endocrinology (Baltimore, Md.)|April 16, 2005
Distinctive actions of membrane-targeted versus nuclear localized estrogen receptors in breast cancer cellsDeshanie Rai, Antonina Frolova, Jonna Frasor, et al.
Biorxiv : the Preprint Server for Biology|August 12, 2024
Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learningRobert van Dijk, John Arevalo, Mehrtash Babadi, et al.
Journal of Biomolecular Screening|September 30, 2011
Workflow and metrics for image quality control in large-scale high-content screensMark-Anthony Bray, Adam N Fraser, Thomas P Hasaka, et al.
Nature Reviews. Methods Primers|September 1, 2023
Imaging flow cytometry: a primerPaul Rees, Huw D Summers, Andrew Filby, et al.
Pageof 21