Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 916 | 2023 |
Galactica: A large language model for science R Taylor, M Kardas, G Cucurull, T Scialom, A Hartshorn, E Saravia, ... arXiv preprint arXiv:2211.09085, 2022 | 251 | 2022 |
Chromatin signatures at Notch‐regulated enhancers reveal large‐scale changes in H3K56ac upon activation L Skalska, R Stojnic, J Li, B Fischer, G Cerda‐Moya, H Sakai, ... The EMBO journal 34 (14), 1889-1904, 2015 | 83 | 2015 |
Activation of the Notch signaling pathway in vivo elicits changes in CSL nuclear dynamics MJ Gomez-Lamarca, J Falo-Sanjuan, R Stojnic, SA Rehman, L Muresan, ... Developmental cell 44 (5), 611-623. e7, 2018 | 77 | 2018 |
Genome-Wide Screens for In Vivo Tinman Binding Sites Identify Cardiac Enhancers with Diverse Functional Architectures H Jin, R Stojnic, B Adryan, A Ozdemir, A Stathopoulos, M Frasch PLoS genetics 9 (1), e1003195, 2013 | 69 | 2013 |
Axcell: Automatic extraction of results from machine learning papers M Kardas, P Czapla, P Stenetorp, S Ruder, S Riedel, R Taylor, R Stojnic arXiv preprint arXiv:2004.14356, 2020 | 45 | 2020 |
PWMEnrich: PWM enrichment analysis R Stojnic, D Diez R package version 4 (0), 10.18129, 2015 | 43 | 2015 |
Genes implicated in stem cell identity and temporal programme are directly targeted by Notch in neuroblast tumours E Zacharioudaki, BE Housden, G Garinis, R Stojnic, C Delidakis, SJ Bray Development 143 (2), 219-231, 2016 | 29 | 2016 |
A combination of computational and experimental approaches identifies DNA sequence constraints associated with target site binding specificity of the transcription factor CSL R Torella, J Li, E Kinrade, G Cerda-Moya, AN Contreras, R Foy, R Stojnic, ... Nucleic acids research 42 (16), 10550-10563, 2014 | 17 | 2014 |
Role of co-repressor genomic landscapes in shaping the Notch response SKK Chan, G Cerda-Moya, R Stojnic, K Millen, B Fischer, S Fexova, ... PLoS genetics 13 (11), e1007096, 2017 | 13 | 2017 |
PWMEnrich: PWM enrichment analysis. R package version 4.2. 0 R Stojnic, D Diez | 7 | 2014 |
A graphical modelling approach to the dissection of highly correlated transcription factor binding site profiles R Stojnic, AQ Fu, B Adryan PLoS computational biology 8 (11), e1002725, 2012 | 7 | 2012 |
ML reproducibility challenge 2021 K Sinha, J Dodge, S Luccioni, J Forde, SC Raparthy, F Mercier, J Pineau, ... ReScience C 8, 2022 | 6 | 2022 |
Towards reproducible machine learning research in natural language processing A Lucic, M Bleeker, S Bhargav, J Forde, K Sinha, J Dodge, S Luccioni, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 5 | 2022 |
Towards Reproducible Machine Learning Research in Information Retrieval A Lucic, M Bleeker, M de Rijke, K Sinha, S Jullien, R Stojnic Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 4 | 2022 |
Nougat: Neural optical understanding for academic documents L Blecher, G Cucurull, T Scialom, R Stojnic arXiv preprint arXiv:2308.13418, 2023 | 3 | 2023 |
Overview of the PWMEnrich package R Stojnić | | 2022 |
Package ‘ddgraph’ R Stojnic | | 2015 |
Package ‘SimBindProfiles’ B Fischer, E Ferrero, R Stojnic, S Russell, MB Fischer | | 2013 |
Overview of the ddgraph package R Stojnic | | 2013 |