High-quality MS/MS spectrum prediction for data-dependent and data-independent acquisition data analysis von Tiwary, Shivani, Levy, Roie, Gutenbrunner, Petra, Salinas Soto, Favio, Palaniappan, Krishnan K., Deming, Laura, Berndl, Marc, Brant, Arthur, Cimermancic, Peter, Cox, Jürgen

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Machine learning guided aptamer refinement and discovery von Bashir, Ali, Yang, Qin, Wang, Jinpeng, Hoyer, Stephan, Chou, Wenchuan, McLean, Cory, Davis, Geoff, Gong, Qiang, Armstrong, Zan, Jang, Junghoon, Kang, Hui, Pawlosky, Annalisa, Scott, Alexander, Dahl, George E., Berndl, Marc, Dimon, Michelle, Ferguson, B. Scott

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In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images von Christiansen, Eric M., Yang, Samuel J., Ando, D. Michael, Javaherian, Ashkan, Skibinski, Gaia, Lipnick, Scott, Mount, Elliot, O’Neil, Alison, Shah, Kevan, Lee, Alicia K., Goyal, Piyush, Fedus, William, Poplin, Ryan, Esteva, Andre, Berndl, Marc, Rubin, Lee L., Nelson, Philip, Finkbeiner, Steven

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Assessing microscope image focus quality with deep learning von Yang, Samuel J, Berndl, Marc, Michael Ando, D, Barch, Mariya, Narayanaswamy, Arunachalam, Christiansen, Eric, Hoyer, Stephan, Roat, Chris, Hung, Jane, Rueden, Curtis T, Shankar, Asim, Finkbeiner, Steven, Nelson, Philip

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Learning causal networks using inducible transcription factors and transcriptome‐wide time series von Hackett, Sean R, Baltz, Edward A, Coram, Marc, Wranik, Bernd J, Kim, Griffin, Baker, Adam, Fan, Minjie, Hendrickson, David G, Berndl, Marc, McIsaac, R Scott

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Discovery of complex oxides via automated experiments and data science von Yang, Lusann, Haber, Joel A., Armstrong, Zan, Yang, Samuel J., Kan, Kevin, Zhou, Lan, Richter, Matthias H., Roat, Christopher, Wagner, Nicholas, Coram, Marc, Berndl, Marc, Riley, Patrick, Gregoire, John M.

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Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock von Ahadi, Sara, Wilson, Kenneth A, Babenko, Boris, McLean, Cory Y, Bryant, Drew, Pritchard, Orion, Kumar, Ajay, Carrera, Enrique M, Lamy, Ricardo, Stewart, Jay M, Varadarajan, Avinash, Berndl, Marc, Kapahi, Pankaj, Bashir, Ali

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Molecular graph convolutions: moving beyond fingerprints von Kearnes, Steven, McCloskey, Kevin, Berndl, Marc, Pande, Vijay, Riley, Patrick

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Target-switch SELEX: Screening with alternating targets to generate aptamers to conserved terminal dipeptides von Cutts, Zachary William, Hong, Jessica M., Shao, Shirley, Tran, Alexander, Dimon, Michelle, Berndl, Marc, Wu, Diana, Pawlosky, Annalisa

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ProtSeq: Toward high-throughput, single-molecule protein sequencing via amino acid conversion into DNA barcodes von Hong, Jessica M., Gibbons, Michael, Bashir, Ali, Wu, Diana, Shao, Shirley, Cutts, Zachary, Chavarha, Mariya, Chen, Ye, Schiff, Lauren, Foster, Mikelle, Church, Victoria A., Ching, Llyke, Ahadi, Sara, Hieu-Thao Le, Anna, Tran, Alexander, Dimon, Michelle, Coram, Marc, Williams, Brian, Jess, Phillip, Berndl, Marc, Pawlosky, Annalisa

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Million spot binding array platform for exploring and optimizing multiple simultaneous detection events von Gibbons, Michael, Hong, Jessica M., Foster, Mikelle, Chavarha, Mariya, Shao, Shirley, Ching, Llyke, Church, Victoria A., Schiff, Lauren, Ahadi, Sara, Berndl, Marc, Jess, Phillip, Pawlosky, Annalisa

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Applying Deep Neural Network Analysis to High-Content Image-Based Assays von Yang, Samuel J., Lipnick, Scott L., Makhortova, Nina R., Venugopalan, Subhashini, Fan, Minjie, Armstrong, Zan, Schlaeger, Thorsten M., Deng, Liyong, Chung, Wendy K., O’Callaghan, Liadan, Geraschenko, Anton, Whye, Dosh, Berndl, Marc, Hazard, Jon, Williams, Brian, Narayanaswamy, Arunachalam, Ando, D. Michael, Nelson, Philip, Rubin, Lee L.

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Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts von Schiff, Lauren, Migliori, Bianca, Chen, Ye, Carter, Deidre, Bonilla, Caitlyn, Hall, Jenna, Fan, Minjie, Tam, Edmund, Ahadi, Sara, Fischbacher, Brodie, Geraschenko, Anton, Hunter, Christopher J., Venugopalan, Subhashini, DesMarteau, Sean, Narayanaswamy, Arunachalam, Jacob, Selwyn, Armstrong, Zan, Ferrarotto, Peter, Williams, Brian, Buckley-Herd, Geoff, Hazard, Jon, Goldberg, Jordan, Coram, Marc, Otto, Reid, Baltz, Edward A., Andres-Martin, Laura, Pritchard, Orion, Duren-Lubanski, Alyssa, Daigavane, Ameya, Reggio, Kathryn, Nelson, Phillip C., Frumkin, Michael, Solomon, Susan L., Bauer, Lauren, Aiyar, Raeka S., Schwarzbach, Elizabeth, Noggle, Scott A., Monsma, Frederick J., Paull, Daniel, Berndl, Marc, Yang, Samuel J., Johannesson, Bjarki

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Discovery of complex oxides via automated experiments and data science von Yang, Lusann, Haber, Joel A., Armstrong, Zan, Yang, Samuel J., Kan, Kevin, Zhou, Lan, Richter, Matthias H., Roat, Christopher, Wagner, Nicholas, Coram, Marc, Berndl, Marc, Riley, Patrick, Gregoire, John M.

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Applying Deep Neural Network Analysis to High-Content Image-Based Assays von Yang, Samuel J., Lipnick, Scott L., Makhortova, Nina R., Venugopalan, Subhashini, Fan, Minjie, Armstrong, Zan, Schlaeger, Thorsten M., Deng, Liyong, Chung, Wendy K., O’Callaghan, Liadan, Geraschenko, Anton, Whye, Dosh, Berndl, Marc, Hazard, Jon, Williams, Brian, Narayanaswamy, Arunachalam, Ando, D. Michael, Nelson, Philip, Rubin, Lee L.

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Neural network for processing graph data von Berndl, Marc, Riley, Patrick F

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NEURAL NETWORK FOR PROCESSING GRAPH DATA von Berndl, Marc, Riley, Patrick F

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Neural network for processing graph data von Berndl, Marc, Riley, Patrick F

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Phenotype analysis of cellular image data using a deep metric network von Berndl, Marc, Ando, Dale M

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Neural network for processing graph data von Berndl, Marc, Riley, Patrick F

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