| Kinetics of Xist-induced gene silencing can be predicted from combinations of epigenetic and genomic features L Barros de Andrade e Sousa, I Jonkers, L Syx, I Dunkel, J Chaumeil, ... Genome research 29 (7), 1087-1099, 2019 | 43 | 2019 |
| Systematic evaluation of cell-type deconvolution pipelines for sequencing-based bulk DNA methylomes Y Jeong, LB de Andrade e Sousa, D Thalmeier, R Toth, M Ganslmeier, ... Briefings in Bioinformatics 23 (4), bbac248, 2022 | 9 | 2022 |
| deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression D Rügamer, R Shen, C Bukas, L Barros de Andrade e Sousa, ... arXiv preprint arXiv:2104.02705, 2021 | 9 | 2021 |
| Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning and data integration Y Yu, S Gawlitt, LB de Andrade e Sousa, E Merdivan, M Piraud, CL Beisel, ... Genome Biology 25 (1), 13, 2024 | 5* | 2024 |
| Probe set selection for targeted spatial transcriptomics LB Kuemmerle, MD Luecken, AB Firsova, LB de Andrade e Sousa, ... bioRxiv, 2022.08. 16.504115, 2022 | 5 | 2022 |
| Dosage and dose schedule screening of drug combinations in agent-based models reveals hidden synergies L Barros de Andrade e Sousa, C Kühn, KM Tyc, E Klipp Frontiers in physiology 6, 398, 2016 | 4 | 2016 |
| Using Interpretable Machine Learning to Understand Gene Silencing Dynamics During X-chromosome Inactivation LBA e Sousa PQDT-Global, 2020 | | 2020 |
| A statistical model for epigenetic control of miRNAs L Barros de Andrade e Sousa, A Marsico PeerJ PrePrints, 2016 | | 2016 |
