Pattern Recognition Software and Techniques for Biological Image Analysis
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DOI: 10.1371/journal.pcbi.1000974
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References listed on IDEAS
- Asa Ben-Hur & Cheng Soon Ong & Sören Sonnenburg & Bernhard Schölkopf & Gunnar Rätsch, 2008. "Support Vector Machines and Kernels for Computational Biology," PLOS Computational Biology, Public Library of Science, vol. 4(10), pages 1-10, October.
- Adi L Tarca & Vincent J Carey & Xue-wen Chen & Roberto Romero & Sorin Drăghici, 2007. "Machine Learning and Its Applications to Biology," PLOS Computational Biology, Public Library of Science, vol. 3(6), pages 1-11, June.
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- Assaf Zaritsky & Sari Natan & Judith Horev & Inbal Hecht & Lior Wolf & Eshel Ben-Jacob & Ilan Tsarfaty, 2011. "Cell Motility Dynamics: A Novel Segmentation Algorithm to Quantify Multi-Cellular Bright Field Microscopy Images," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-10, November.
- Philipp Mergenthaler & Santosh Hariharan & James M Pemberton & Corey Lourenco & Linda Z Penn & David W Andrews, 2021. "Rapid 3D phenotypic analysis of neurons and organoids using data-driven cell segmentation-free machine learning," PLOS Computational Biology, Public Library of Science, vol. 17(2), pages 1-33, February.
- Louis-François Handfield & Yolanda T Chong & Jibril Simmons & Brenda J Andrews & Alan M Moses, 2013. "Unsupervised Clustering of Subcellular Protein Expression Patterns in High-Throughput Microscopy Images Reveals Protein Complexes and Functional Relationships between Proteins," PLOS Computational Biology, Public Library of Science, vol. 9(6), pages 1-19, June.
- Abderrahim Ayad & Saad Bakkali, 2019. "Fractal Assessment of the Disturbances of Phosphate Series Using Lacunarity and Succolarity Analysis on Geoelectrical Images (Sidi Chennane, Morocco)," Complexity, Hindawi, vol. 2019, pages 1-12, July.
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