| Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly H Li, J Janssens, M De Waegeneer, SS Kolluru, K Davie, V Gardeux, ... Science 375 (6584), eabk2432, 2022 | 414 | 2022 |
| Multi-view low-rank sparse subspace clustering M Brbić, I Kopriva Pattern Recognition 73, 247-258, 2018 | 414 | 2018 |
| MARS: discovering novel cell types across heterogeneous single-cell experiments M Brbić, M Zitnik, S Wang, AO Pisco, RB Altman, S Darmanis, J Leskovec Nature Methods, 1-7, 2020 | 117 | 2020 |
| The landscape of microbial phenotypic traits and associated genes M Brbić, M Piškorec, V Vidulin, A Kriško, T Šmuc, F Supek Nucleic Acids Research 44 (21), 10074–10090, 2016 | 112 | 2016 |
| Chemoreceptor co-expression in Drosophila melanogaster olfactory neurons D Task, CC Lin, A Vulpe, A Afify, S Ballou, M Brbic, P Schlegel, J Raji, ... eLife 11, e72599, 2022 | 107* | 2022 |
| Organization of the human intestine at single-cell resolution JW Hickey, WR Becker, SA Nevins, A Horning, AE Perez, C Zhu, B Zhu, ... Nature 619 (7970), 572, 2023 | 95* | 2023 |
| Concept Learners for Few-Shot Learning K Cao*, M Brbić*, J Leskovec International Conference on Learning Representations (ICLR), 2021 | 90 | 2021 |
| Single-cell transcriptomes of developing and adult olfactory receptor neurons in Drosophila CN McLaughlin*, M Brbić*, Q Xie, T Li, F Horns, SS Kolluru, JM Kebschull, ... eLife 10, e63856, 2021 | 82 | 2021 |
| -Motivated Low-Rank Sparse Subspace Clustering M Brbić, I Kopriva IEEE Transactions on Cybernetics 50 (4), 1711-1725, 2018 | 78 | 2018 |
| A synthesis of bacterial and archaeal phenotypic trait data JS Madin, DA Nielsen, M Brbić, R Corkrey, D Danko, K Edwards, ... Scientific Data 7 (1), 1-8, 2020 | 77 | 2020 |
| Selective sampling-based scalable sparse subspace clustering S Matsushima, M Brbić Neural Information Processing Systems (NeurIPS), 12416-12425, 2019 | 64 | 2019 |
| Annotation of spatially resolved single-cell data with STELLAR M Brbić*, K Cao*, JW Hickey*, Y Tan, MP Snyder, GP Nolan, J Leskovec Nature Methods, 1-8, 2022 | 62 | 2022 |
| Leveraging the Cell Ontology to classify unseen cell types S Wang, AO Pisco, A McGeever, M Brbic, M Zitnik, S Darmanis, ... Nature communications 12 (1), 1-11, 2021 | 55* | 2021 |
| Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution TC Lu*, M Brbić*, YJ Park, T Jackson, J Chen, SS Kolluru, Y Qi, ... Science 380 (6650), eadg0934, 2023 | 33 | 2023 |
| Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons Q Xie, M Brbic, F Horns, SS Kolluru, RC Jones, J Li, AR Reddy, A Xie, ... eLife 10, e63450, 2021 | 33 | 2021 |
| Global shifts in genome and proteome composition are very tightly coupled M Brbić, T Warnecke, A Kriško, F Supek Genome Biology and Evolution 7 (6), 1519-1532, 2015 | 29 | 2015 |
| Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN Y Rosen*, M Brbić*, Y Roohani*, K Swanson, Z Li, J Leskovec Nature Methods, 1-9, 2024 | 15 | 2024 |
| Tuning machine learning algorithms for content-based movie recommendation M Brbić, I Podnar Zarko Intelligent Decision Technologies 9 (3), 233-242, 2015 | 7 | 2015 |
| The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning A Gadetsky, M Brbić Neural Information Processing Systems (NeurIPS), 2023 | 4 | 2023 |
| Phenotype inference from text and genomic data M Brbić, M Piškorec, V Vidulin, A Kriško, T Šmuc, F Supek Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 4 | 2017 |
