{"id":48340,"date":"2021-12-06T02:08:05","date_gmt":"2021-12-06T07:08:05","guid":{"rendered":"https:\/\/euvolution.com\/open-source-convergence\/uncategorized\/a-machine-learning-pipeline-revealing-heterogeneous-responses-to-drug-perturbations-on-vascular-smooth-muscle-cell-spheroid-morphology-and-formation.php"},"modified":"2021-12-06T02:08:05","modified_gmt":"2021-12-06T07:08:05","slug":"a-machine-learning-pipeline-revealing-heterogeneous-responses-to-drug-perturbations-on-vascular-smooth-muscle-cell-spheroid-morphology-and-formation","status":"publish","type":"post","link":"https:\/\/euvolution.com\/open-source-convergence\/machine-learning\/a-machine-learning-pipeline-revealing-heterogeneous-responses-to-drug-perturbations-on-vascular-smooth-muscle-cell-spheroid-morphology-and-formation.php","title":{"rendered":"A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formation |&#8230;"},"content":{"rendered":"<p><p>Thyberg, J., Hedin, U., Sjlund, M., Palmberg, L. & Bottger, B. A. Regulation of differentiated properties and proliferation of arterial smooth muscle cells. Arteriosclerosis 10, 966990. <a href=\"https:\/\/doi.org\/10.1161\/01.ATV.10.6.966\" rel=\"nofollow\">https:\/\/doi.org\/10.1161\/01.ATV.10.6.966<\/a> (1990).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Owens, G. K., Kumar, M. S. & Wamhoff, B. R. Molecular regulation of vascular smooth muscle cell differentiation in development and disease. Physiol. Rev. 84, 767801. <a href=\"https:\/\/doi.org\/10.1152\/physrev.00041.2003\" rel=\"nofollow\">https:\/\/doi.org\/10.1152\/physrev.00041.2003<\/a> (2004).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Thyberg, J., Blomgren, K., Roy, J., Tran, P. K. & Hedin, U. Phenotypic modulation of smooth muscle cells after arterial injury is associated with changes in the distribution of laminin and fibronectin. J. Histochem. Cytochem. 45, 837846. <a href=\"https:\/\/doi.org\/10.1177\/002215549704500608\" rel=\"nofollow\">https:\/\/doi.org\/10.1177\/002215549704500608<\/a> (1997).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Ross, R. & Glomset, J. A. Atherosclerosis and the arterial smooth muscle cell. Science 180, 13321339. <a href=\"https:\/\/doi.org\/10.1126\/science.180.4093.1332\" rel=\"nofollow\">https:\/\/doi.org\/10.1126\/science.180.4093.1332<\/a> (1973).<\/p>\n<p>ADS    CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Ross, R. Atherosclerosis: An inflammatory disease. N. Engl. J. Med. 340, 115126. <a href=\"https:\/\/doi.org\/10.1056\/nejm199901143400207\" rel=\"nofollow\">https:\/\/doi.org\/10.1056\/nejm199901143400207<\/a> (1999).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Chappell, J. et al. Extensive proliferation of a subset of differentiated, yet plastic, medial vascular smooth muscle cells contributes to neointimal formation in mouse injury and atherosclerosis models. Circ. Res. 119, 13131323. <a href=\"https:\/\/doi.org\/10.1161\/circresaha.116.309799\" rel=\"nofollow\">https:\/\/doi.org\/10.1161\/circresaha.116.309799<\/a> (2016).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Michel, J.-B., Li, Z. & Lacolley, P. Smooth muscle cells and vascular diseases. Cardiovasc. Res. 95, 135137. <a href=\"https:\/\/doi.org\/10.1093\/cvr\/cvs172\" rel=\"nofollow\">https:\/\/doi.org\/10.1093\/cvr\/cvs172<\/a> (2012).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Kothapalli, D. et al. Cardiovascular protection by ApoE and ApoE-HDL linked to suppression of ECM gene expression and arterial stiffening. Cell Rep. 2, 12591271. <a href=\"https:\/\/doi.org\/10.1016\/j.celrep.2012.09.018\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.celrep.2012.09.018<\/a> (2012).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Liu, S.-L. et al. Cardiovascular protection in females linked to estrogen-dependent inhibition of arterial stiffening and macrophage MMP12. JCI Insight 4, e122742. <a href=\"https:\/\/doi.org\/10.1172\/jci.insight.122742\" rel=\"nofollow\">https:\/\/doi.org\/10.1172\/jci.insight.122742<\/a> (2019).<\/p>\n<p>Article    PubMed Central                        Google Scholar                <\/p>\n<p>Klein, E. A. et al. Cell-cycle control by physiological matrix elasticity and in vivo tissue stiffening. Curr. Biol. 19, 15111518. <a href=\"https:\/\/doi.org\/10.1016\/j.cub.2009.07.069\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.cub.2009.07.069<\/a> (2009).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Bae, Y. H. et al. A FAK-Cas-Rac-lamellipodin signaling module transduces extracellular matrix stiffness into mechanosensitive cell cycling. Sci Signal 7, 57. <a href=\"https:\/\/doi.org\/10.1126\/scisignal.2004838\" rel=\"nofollow\">https:\/\/doi.org\/10.1126\/scisignal.2004838<\/a> (2014).<\/p>\n<p>CAS    Article                        Google Scholar                <\/p>\n<p>Mui, K. L. et al. N-Cadherin induction by ECM stiffness and FAK overrides the spreading requirement for proliferation of vascular smooth muscle cells. Cell Rep. <a href=\"https:\/\/doi.org\/10.1016\/j.celrep.2015.02.023\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.celrep.2015.02.023<\/a> (2015).<\/p>\n<p>Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Roden, D. M. et al. Opportunities and challenges in cardiovascular pharmacogenomics. Circ. Res. 122, 11761190. <a href=\"https:\/\/doi.org\/10.1161\/CIRCRESAHA.117.310965\" rel=\"nofollow\">https:\/\/doi.org\/10.1161\/CIRCRESAHA.117.310965<\/a> (2018).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Johnson Julie, A. Ethnic differences in cardiovascular drug response. Circulation 118, 13831393. <a href=\"https:\/\/doi.org\/10.1161\/CIRCULATIONAHA.107.704023\" rel=\"nofollow\">https:\/\/doi.org\/10.1161\/CIRCULATIONAHA.107.704023<\/a> (2008).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Roden, D. M. et al. Pharmacogenomics: Challenges and opportunities. Ann. Intern. Med. 145, 749757. <a href=\"https:\/\/doi.org\/10.7326\/0003-4819-145-10-200611210-00007\" rel=\"nofollow\">https:\/\/doi.org\/10.7326\/0003-4819-145-10-200611210-00007<\/a> (2006).<\/p>\n<p>Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Donnelly, R. Characterizing variability in cardiovascular drug responses. Br. J. Clin. Pharmacol. 57, 535537. <a href=\"https:\/\/doi.org\/10.1111\/j.1365-2125.2004.02148.x\" rel=\"nofollow\">https:\/\/doi.org\/10.1111\/j.1365-2125.2004.02148.x<\/a> (2004).<\/p>\n<p>CAS    Article    PubMed Central                        Google Scholar                <\/p>\n<p>Carson, P., Ziesche, S., Johnson, G. & Cohn, J. N. Racial differences in response to therapy for heart failure: Analysis of the vasodilator-heart failure trials. Vasodilator-Heart Failure Trial Study Group. J. Cardiac Failure 5, 178187. <a href=\"https:\/\/doi.org\/10.1016\/s1071-9164(99)90001-5\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/s1071-9164(99)90001-5<\/a> (1999).<\/p>\n<p>CAS    Article                        Google Scholar                <\/p>\n<p>Wright, J. T. Jr. et al. Effect of blood pressure lowering and antihypertensive drug class on progression of hypertensive kidney disease: Results from the AASK trial. JAMA 288, 24212431. <a href=\"https:\/\/doi.org\/10.1001\/jama.288.19.2421\" rel=\"nofollow\">https:\/\/doi.org\/10.1001\/jama.288.19.2421<\/a> (2002).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Wright, J. T. Jr. et al. Outcomes in hypertensive black and nonblack patients treated with chlorthalidone, amlodipine, and lisinopril. JAMA 293, 15951608. <a href=\"https:\/\/doi.org\/10.1001\/jama.293.13.1595\" rel=\"nofollow\">https:\/\/doi.org\/10.1001\/jama.293.13.1595<\/a> (2005).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Agarwal, R. & Sinha, A. D. Cardiovascular protection with antihypertensive drugs in dialysis patients: Systematic review and meta-analysis. Hypertension 53, 860866. <a href=\"https:\/\/doi.org\/10.1161\/hypertensionaha.108.128116\" rel=\"nofollow\">https:\/\/doi.org\/10.1161\/hypertensionaha.108.128116<\/a> (2009).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Genkel, V. V. & Shaposhnik, I. I. Conceptualization of heterogeneity of chronic diseases and atherosclerosis as a pathway to precision medicine: Endophenotype, endotype, and residual cardiovascular risk. Int. J. Chronic Dis. 2020, 5950813. <a href=\"https:\/\/doi.org\/10.1155\/2020\/5950813\" rel=\"nofollow\">https:\/\/doi.org\/10.1155\/2020\/5950813<\/a> (2020).<\/p>\n<p>Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Yano, H. et al. Roles played by a subset of integrin signaling molecules in cadherin-based cell-cell adhesion. J. Cell Biol. 166, 283295. <a href=\"https:\/\/doi.org\/10.1083\/jcb.200312013\" rel=\"nofollow\">https:\/\/doi.org\/10.1083\/jcb.200312013<\/a> (2004).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Cheng, Z. et al. Focal adhesion kinase regulates smooth muscle cell recruitment to the developing vasculature. Arterioscler. Thromb. Vasc. Biol. 31, 21932202. <a href=\"https:\/\/doi.org\/10.1161\/atvbaha.111.232231\" rel=\"nofollow\">https:\/\/doi.org\/10.1161\/atvbaha.111.232231<\/a> (2011).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Klein, E. A., Yung, Y., Castagnino, P., Kothapalli, D. & Assoian, R. K. in Methods in Enzymology Vol. Volume 426 (ed A. Cheresh David) 155175 (Academic Press, 2007).<\/p>\n<p>Strauss, B. H. et al. Extracellular matrix remodeling after balloon angioplasty injury in a rabbit model of restenosis. Circ. Res. 75, 650658. <a href=\"https:\/\/doi.org\/10.1161\/01.res.75.4.650\" rel=\"nofollow\">https:\/\/doi.org\/10.1161\/01.res.75.4.650<\/a> (1994).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Braga, V. M., Machesky, L. M., Hall, A. & Hotchin, N. A. The small GTPases Rho and Rac are required for the establishment of cadherin-dependent cell-cell contacts. J. Cell Biol. 137, 14211431. <a href=\"https:\/\/doi.org\/10.1083\/jcb.137.6.1421\" rel=\"nofollow\">https:\/\/doi.org\/10.1083\/jcb.137.6.1421<\/a> (1997).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Bae, Y. H., Liu, S. L., Byfield, F. J., Janmey, P. A. & Assoian, R. K. Measuring the stiffness of ex vivo mouse aortas using atomic force microscopy. JoVE <a href=\"https:\/\/doi.org\/10.3791\/54630\" rel=\"nofollow\">https:\/\/doi.org\/10.3791\/54630<\/a> (2016).<\/p>\n<p>Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Bade, N. D., Kamien, R. D., Assoian, R. K. & Stebe, K. J. Curvature and Rho activation differentially control the alignment of cells and stress fibers. Sci. Adv. 3, e1700150. <a href=\"https:\/\/doi.org\/10.1126\/sciadv.1700150\" rel=\"nofollow\">https:\/\/doi.org\/10.1126\/sciadv.1700150<\/a> (2017).<\/p>\n<p>ADS    CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Welsh, C. F. et al. Timing of cyclin D1 expression within G1 phase is controlled by Rho. Nat. Cell Biol. 3, 950957. <a href=\"https:\/\/doi.org\/10.1038\/ncb1101-950\" rel=\"nofollow\">https:\/\/doi.org\/10.1038\/ncb1101-950<\/a> (2001).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Nelson, C. M., Pirone, D. M., Tan, J. L. & Chen, C. S. Vascular endothelial-cadherin regulates cytoskeletal tension, cell spreading, and focal adhesions by stimulating RhoA. Mol. Biol. Cell 15, 29432953. <a href=\"https:\/\/doi.org\/10.1091\/mbc.e03-10-0745\" rel=\"nofollow\">https:\/\/doi.org\/10.1091\/mbc.e03-10-0745<\/a> (2004).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Shibata, R. et al. Role of rho-associated kinase in neointima formation after vascular injury. Circulation 103, 284289. <a href=\"https:\/\/doi.org\/10.1161\/01.CIR.103.2.284\" rel=\"nofollow\">https:\/\/doi.org\/10.1161\/01.CIR.103.2.284<\/a> (2001).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Tang, D. D. & Gunst, S. J. The small GTPase Cdc42 regulates actin polymerization and tension development during contractile stimulation of smooth muscle. J. Biol. Chem. 279, 5172251728. <a href=\"https:\/\/doi.org\/10.1074\/jbc.M408351200\" rel=\"nofollow\">https:\/\/doi.org\/10.1074\/jbc.M408351200<\/a> (2004).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Lv, J. et al. Endothelial Cdc42 deficiency impairs endothelial regeneration and vascular repair after inflammatory vascular injury. Respir. Res. 19, 27. <a href=\"https:\/\/doi.org\/10.1186\/s12931-018-0729-8\" rel=\"nofollow\">https:\/\/doi.org\/10.1186\/s12931-018-0729-8<\/a> (2018).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Li, J. et al. Essential role of Cdc42 in cardiomyocyte proliferation and cell-cell adhesion during heart development. Dev. Biol. 421, 271283. <a href=\"https:\/\/doi.org\/10.1016\/j.ydbio.2016.12.012\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.ydbio.2016.12.012<\/a> (2017).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Zuo, X. et al. Spheroids of endothelial cells and vascular smooth muscle cells promote cell migration in hyaluronic acid and fibrinogen composite hydrogels. Research 2020, 8970480. <a href=\"https:\/\/doi.org\/10.34133\/2020\/8970480\" rel=\"nofollow\">https:\/\/doi.org\/10.34133\/2020\/8970480<\/a> (2020).<\/p>\n<p>ADS    CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Pfisterer, L., Feldner, A., Hecker, M. & Korff, T. Hypertension impairs myocardin function: a novel mechanism facilitating arterial remodelling. Cardiovasc. Res. 96, 120129. <a href=\"https:\/\/doi.org\/10.1093\/cvr\/cvs247%JCardiovascularResearch\" rel=\"nofollow\">https:\/\/doi.org\/10.1093\/cvr\/cvs247%JCardiovascularResearch<\/a> (2012).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Friedrich, J., Seidel, C., Ebner, R. & Kunz-Schughart, L. A. Spheroid-based drug screen: considerations and practical approach. Nat. Protoc. 4, 309324. <a href=\"https:\/\/doi.org\/10.1038\/nprot.2008.226\" rel=\"nofollow\">https:\/\/doi.org\/10.1038\/nprot.2008.226<\/a> (2009).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Foty, R. A simple hanging drop cell culture protocol for generation of 3D spheroids. JoVE <a href=\"https:\/\/doi.org\/10.3791\/2720\" rel=\"nofollow\">https:\/\/doi.org\/10.3791\/2720<\/a> (2011).<\/p>\n<p>Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Sata, M. et al. A mouse model of vascular injury that induces rapid onset of medial cell apoptosis followed by reproducible neointimal hyperplasia. J. Mol. Cell. Cardiol. 32, 20972104. <a href=\"https:\/\/doi.org\/10.1006\/jmcc.2000.1238\" rel=\"nofollow\">https:\/\/doi.org\/10.1006\/jmcc.2000.1238<\/a> (2000).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Marx, S. O., Totary-Jain, H. & Marks, A. R. Vascular smooth muscle cell proliferation in restenosis. Circ. Cardiovasc. Interv. 4, 104111. <a href=\"https:\/\/doi.org\/10.1161\/circinterventions.110.957332\" rel=\"nofollow\">https:\/\/doi.org\/10.1161\/circinterventions.110.957332<\/a> (2011).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Danuser, G. Computer vision in cell biology. Cell 147, 973978. <a href=\"https:\/\/doi.org\/10.1016\/j.cell.2011.11.001\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.cell.2011.11.001<\/a> (2011).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>McQuin, C. et al. Cell Profiler 3.0: Next-generation image processing for biology. PLoS Biol. 16, e2005970. <a href=\"https:\/\/doi.org\/10.1371\/journal.pbio.2005970\" rel=\"nofollow\">https:\/\/doi.org\/10.1371\/journal.pbio.2005970<\/a> (2018).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Lee, K. et al. Functional hierarchy of redundant actin assembly factors revealed by fine-grained registration of intrinsic image fluctuations. Cell Syst. 1, 3750. <a href=\"https:\/\/doi.org\/10.1016\/j.cels.2015.07.001\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.cels.2015.07.001<\/a> (2015).<\/p>\n<p>CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Piccinini, F. AnaSP: a software suite for automatic image analysis of multicellular spheroids. Comput. Methods Programs Biomed. 119, 4352. <a href=\"https:\/\/doi.org\/10.1016\/j.cmpb.2015.02.006\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.cmpb.2015.02.006<\/a> (2015).<\/p>\n<p>Article    PubMed                        Google Scholar                <\/p>\n<p>Psycharakis, S. E. et al. in Clinical and Preclinical Optical Diagnostics II. 11076_11024 (Optical Society of America).<\/p>\n<p>Piccinini, F., Tesei, A., Zanoni, M. & Bevilacqua, A. ReViMS: Software tool for estimating the volumes of 3-D multicellular spheroids imaged using a light sheet fluorescence microscope. Biotechniques 63, 227229. <a href=\"https:\/\/doi.org\/10.2144\/000114609\" rel=\"nofollow\">https:\/\/doi.org\/10.2144\/000114609<\/a> (2017).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Falk, T. et al. U-Net: Deep learning for cell counting, detection, and morphometry. Nat. Methods 16, 6770. <a href=\"https:\/\/doi.org\/10.1038\/s41592-018-0261-2\" rel=\"nofollow\">https:\/\/doi.org\/10.1038\/s41592-018-0261-2<\/a> (2019).<\/p>\n<p>CAS    Article    PubMed                        Google Scholar                <\/p>\n<p>Jang, D. et al. A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy. Cell Reports Methods. 1, 100105. <a href=\"https:\/\/doi.org\/10.1016\/j.crmeth.2021.100105\" rel=\"nofollow\">https:\/\/doi.org\/10.1016\/j.crmeth.2021.100105<\/a> (2021).<\/p>\n<p>Ronneberger, O., Fischer, P. & Brox, T. U-Net: Convolutional networks for biomedical image segmentation. arXiv:1505.04597 (2015). <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2015arXiv150504597R\" rel=\"nofollow\">https:\/\/ui.adsabs.harvard.edu\/abs\/2015arXiv150504597R<\/a>.<\/p>\n<p>Simonyan, K. & Zisserman, A. Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556 (2014). <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2014arXiv1409.1556S\" rel=\"nofollow\">https:\/\/ui.adsabs.harvard.edu\/abs\/2014arXiv1409.1556S<\/a>.<\/p>\n<p>Kim, S. J. et al. Deep transfer learning-based hologram classification for molecular diagnostics. Sci. Rep. 8, 17003. <a href=\"https:\/\/doi.org\/10.1038\/s41598-018-35274-x\" rel=\"nofollow\">https:\/\/doi.org\/10.1038\/s41598-018-35274-x<\/a> (2018).<\/p>\n<p>ADS    CAS    Article    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Iglovikov, V. & Shvets, A. TernausNet: U-Net with VGG11 Encoder pre-trained on imagenet for image segmentation. arXiv:1801.05746 (2018).<\/p>\n<p>Yosinski, J., Clune, J., Bengio, Y. & Lipson, H. How transferable are features in deep neural networks? arXiv:1411.1792 (2014). <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2014arXiv1411.1792Y\" rel=\"nofollow\">https:\/\/ui.adsabs.harvard.edu\/abs\/2014arXiv1411.1792Y<\/a>.<\/p>\n<p>Cowan, L. Y. P. a. L. Y. P. a. S. J. H. a. C. L. G. a. J. D. Discriminability-based transfer between neural networks. Adv. Neural Inf. Process. Syst. 5 (1993).<\/p>\n<p><!-- Auto Generated --><\/p>\n<p>More here:<br \/>\n<a target=\"_blank\" href=\"https:\/\/www.nature.com\/articles\/s41598-021-02683-4\" title=\"A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formation |...\" rel=\"noopener\">A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formation |...<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Thyberg, J., Hedin, U., Sjlund, M., Palmberg, L. &#038; Bottger, B. <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27373],"tags":[],"class_list":["post-48340","post","type-post","status-publish","format-standard","hentry","category-machine-learning"],"_links":{"self":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/posts\/48340"}],"collection":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/comments?post=48340"}],"version-history":[{"count":0,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/posts\/48340\/revisions"}],"wp:attachment":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/media?parent=48340"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/categories?post=48340"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/tags?post=48340"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}