Optimal marker gene selection for cell type discrimination in single cell analyses von Dumitrascu, Bianca, Villar, Soledad, Mixon, Dustin G., Engelhardt, Barbara E.

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netNMF-sc: leveraging gene-gene interactions for imputation and dimensionality reduction in single-cell expression analysis von Elyanow, Rebecca, Dumitrascu, Bianca, Engelhardt, Barbara E., Raphael, Benjamin J.

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Sparse multi-output Gaussian processes for online medical time series prediction von Cheng, Li-Fang, Dumitrascu, Bianca, Darnell, Gregory, Chivers, Corey, Draugelis, Michael, Li, Kai, Engelhardt, Barbara E.

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Causal network inference from gene transcriptional time-series response to glucocorticoids von Lu, Jonathan, Dumitrascu, Bianca, McDowell, Ian C., Jo, Brian, Barrera, Alejandro, Hong, Linda K., Leichter, Sarah M., Reddy, Timothy E., Engelhardt, Barbara E.

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MarkerMap: nonlinear marker selection for single-cell studies von Gregory, Wilson, Sarwar, Nabeel, Kevrekidis, George, Villar, Soledad, Dumitrascu, Bianca

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Bayesian nonparametric discovery of isoforms and individual specific quantification von Aguiar, Derek, Cheng, Li-Fang, Dumitrascu, Bianca, Mordelet, Fantine, Pai, Athma A., Engelhardt, Barbara E.

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Deep learning for bioimage analysis in developmental biology von Hallou, Adrien, Yevick, Hannah G., Dumitrascu, Bianca, Uhlmann, Virginie

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In silico tissue generation and power analysis for spatial omics von Baker, Ethan A. G., Schapiro, Denis, Dumitrascu, Bianca, Vickovic, Sanja, Regev, Aviv

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Statistical tests for detecting variance effects in quantitative trait studies von Dumitrascu, Bianca, Darnell, Gregory, Ayroles, Julien, Engelhardt, Barbara E

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Sequential Gaussian Processes for Online Learning of Nonstationary Functions von Zhang, Michael Minyi, Dumitrascu, Bianca, Williamson, Sinead A., Engelhardt, Barbara E.

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NONPARAMETRIC BAYESIAN MULTIARMED BANDITS FOR SINGLE-CELL EXPERIMENT DESIGN von Camerlenghi, Federico, Dumitrascu, Bianca, Ferrari, Federico, Engelhardt, Barbara E., Favaro, Stefano

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Gene-level alignment of single-cell trajectories von Sumanaweera, Dinithi, Suo, Chenqu, Cujba, Ana-Maria, Muraro, Daniele, Dann, Emma, Polanski, Krzysztof, Steemers, Alexander S, Lee, Woochan, Oliver, Amanda J, Park, Jong-Eun, Meyer, Kerstin B, Dumitrascu, Bianca, Teichmann, Sarah A

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Hypergraph factorization for multi-tissue gene expression imputation von Viñas, Ramon, Joshi, Chaitanya K., Georgiev, Dobrik, Lin, Phillip, Dumitrascu, Bianca, Gamazon, Eric R., Liò, Pietro

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SEX DIFFERENCES AT THE MOLECULAR LEVEL: LESSONS FROM THE HUMAN TRANSCRIPTOME von Stranger, Barbara, Oliva, Meritxell, Gamazon, Eric, Reverter, Ferran, Wucher, Valentin, Balliu, Brunilda, Dumitrascu, Bianca, Parsana, Princy, Payne, Anthony, Jo, Brian, Montgomery, Stephen, Battle, Alexis, Ardlie, Kristin, Guigo, Roderic, Engelhardt, Barbara

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Hypergraph factorization for multi-tissue gene expression imputation von Viñas, Ramon, Joshi, Chaitanya K, Georgiev, Dobrik, Lin, Phillip, Dumitrascu, Bianca, Gamazon, Eric R, Liò, Pietro

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Approximate Latent Force Model Inference von Moss, Jacob D, Opolka, Felix L, Dumitrascu, Bianca, Lió, Pietro

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Approximate Latent Force Model Inference von Moss, Jacob D, Opolka, Felix L, Dumitrascu, Bianca, Lió, Pietro

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Sequential Gaussian Processes for Online Learning of Nonstationary Functions von Zhang, Michael Minyi, Dumitrascu, Bianca, Williamson, Sinead A, Engelhardt, Barbara E

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Deep learning for bioimage analysis von Hallou, Adrien, Yevick, Hannah, Dumitrascu, Bianca, Uhlmann, Virginie

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In silico tissue generation and power analysis for spatial omics von Baker, Ethan AG, Schapiro, Denis, Dumitrascu, Bianca, Vickovic, Sanja, Regev, Aviv

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