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Biorxiv : the Preprint Server for Biology
|
September 25, 2023
Evaluating batch correction methods for image-based cell profiling
John Arevalo, Ellen Su, Robert van Dijk, et al.
Molecular Cell
|
January 22, 2022
The new era of quantitative cell imaging-challenges and opportunities
Neda Bagheri, Anne E Carpenter, Emma Lundberg, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition
|
March 29, 2019
Weakly Supervised Learning of Single-Cell Feature Embeddings
Juan C Caicedo, Claire McQuin, Allen Goodman, et al.
Plos Computational Biology
|
November 11, 2024
Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning
Robert van Dijk, John Arevalo, Mehrtash Babadi, et al.
IEEE Transactions on Visualization and Computer Graphics
|
October 29, 2011
Visualization of parameter space for image analysis
A Johannes Pretorius, Mark-Anthony P Bray, Anne E Carpenter, et al.
Eukaryotic Cell
|
October 24, 2006
Genetic architecture of Hsp90-dependent drug resistance
Leah E Cowen, Anne E Carpenter, Oranart Matangkasombut, et al.
Bioinformatics (Oxford, England)
|
February 21, 2009
Ultrasome: efficient aberration caller for copy number studies of ultra-high resolution
Björn Nilsson, Mikael Johansson, Fatima Al-Shahrour, et al.
Nature Methods
|
November 7, 2022
High-dimensional gene expression and morphology profiles of cells across 28,000 genetic and chemical perturbations
Marzieh Haghighi, Juan C Caicedo, Beth A Cimini, et al.
F1000Research
|
July 12, 2021
Developing open-source software for bioimage analysis: opportunities and challenges
Florian Levet, Anne E Carpenter, Kevin W Eliceiri, et al.
Nature Methods
|
September 2, 2024
Cell Painting Gallery: an open resource for image-based profiling
Erin Weisbart, Ankur Kumar, John Arevalo, et al.
Page
of 21
Search research articles
Search
Showing results (41-50 of 210) with videos related to
Sort By:
Page
of 21
Biorxiv : the Preprint Server for Biology
|
September 25, 2023
Evaluating batch correction methods for image-based cell profiling
John Arevalo, Ellen Su, Robert van Dijk, et al.
Molecular Cell
|
January 22, 2022
The new era of quantitative cell imaging-challenges and opportunities
Neda Bagheri, Anne E Carpenter, Emma Lundberg, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition
|
March 29, 2019
Weakly Supervised Learning of Single-Cell Feature Embeddings
Juan C Caicedo, Claire McQuin, Allen Goodman, et al.
Plos Computational Biology
|
November 11, 2024
Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning
Robert van Dijk, John Arevalo, Mehrtash Babadi, et al.
IEEE Transactions on Visualization and Computer Graphics
|
October 29, 2011
Visualization of parameter space for image analysis
A Johannes Pretorius, Mark-Anthony P Bray, Anne E Carpenter, et al.
Eukaryotic Cell
|
October 24, 2006
Genetic architecture of Hsp90-dependent drug resistance
Leah E Cowen, Anne E Carpenter, Oranart Matangkasombut, et al.
Bioinformatics (Oxford, England)
|
February 21, 2009
Ultrasome: efficient aberration caller for copy number studies of ultra-high resolution
Björn Nilsson, Mikael Johansson, Fatima Al-Shahrour, et al.
Nature Methods
|
November 7, 2022
High-dimensional gene expression and morphology profiles of cells across 28,000 genetic and chemical perturbations
Marzieh Haghighi, Juan C Caicedo, Beth A Cimini, et al.
F1000Research
|
July 12, 2021
Developing open-source software for bioimage analysis: opportunities and challenges
Florian Levet, Anne E Carpenter, Kevin W Eliceiri, et al.
Nature Methods
|
September 2, 2024
Cell Painting Gallery: an open resource for image-based profiling
Erin Weisbart, Ankur Kumar, John Arevalo, et al.
Page
of 21