| LocText: relation extraction of protein localizations to assist database curation JM Cejuela, S Vinchurkar, T Goldberg, MS Prabhu Shankar, ... BMC bioinformatics 19, 1-11, 2018 | 30 | 2018 |
| Temporal expression profiling identifies pathways mediating effect of causal variant on phenotype S Gupta, A Radhakrishnan, P Raharja-Liu, G Lin, LM Steinmetz, ... PLoS genetics 11 (6), e1005195, 2015 | 28 | 2015 |
| nala: text mining natural language mutation mentions JM Cejuela, A Bojchevski, C Uhlig, R Bekmukhametov, S Kumar Karn, ... Bioinformatics 33 (12), 1852-1858, 2017 | 13 | 2017 |
| Deep learning can predict multi-omic biomarkers from routine pathology images: A systematic large-scale study S Arslan, D Mehrotra, J Schmidt, A Geraldes, S Singhal, J Hense, X Li, ... | 6 | 2022 |
| A single-cell micro-trench platform for automatic monitoring of cell division and apoptosis after chemotherapeutic drug administration EI Chatzopoulou, P Raharja-Liu, A Murschhauser, F Sekhavati, ... Nature Scientific Reports 8, 2018 | 6 | 2018 |
| Meiotic Interactors of a Mitotic Gene TAO3 Revealed by Functional Analysis of its Rare Variant S Gupta, A Radhakrishnan, R Nitin, P Raharja-Liu, G Lin, LM Steinmetz, ... G3: Genes, Genomes, Genetics 6 (8), 2255-2263, 2016 | 5 | 2016 |
| Evaluation of a predictive method for the H&E-based molecular profiling of breast cancer with deep learning S Arslan, X Li, J Schmidt, J Hense, A Geraldes, C Bass, K Brown, ... bioRxiv, 2022.01. 04.474882, 2022 | 4 | 2022 |
| Large-scale systematic feasibility study on the pan-cancer predictability of multi-omic biomarkers from whole slide images with deep learning S Arslan, D Mehrotra, J Schmidt, A Geraldes, S Singhal, J Hense, X Li, ... bioRxiv, 2022.01. 21.477189, 2022 | 2 | 2022 |
| A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images S Arslan, J Schmidt, C Bass, D Mehrotra, A Geraldes, S Singhal, J Hense, ... Communications Medicine 4 (1), 48, 2024 | | 2024 |
| Single-cell analysis of cancer drug response using computer vision and learning algorithms on time-lapse micro-trench data P Raharja-Liu Technische Universität München, 2017 | | 2017 |
| Analysis of a rare variant of mitotic gene TAO3 reveals its meiotic interactors S Gupta, A Radhakrishnan, R Nitin, P Raharja-Liu, G Lin, LM Steinmetz, ... bioRxiv, 033167, 2015 | | 2015 |
| PubSeq: Amino Acid-based Search Engine for MEDLINE Abstracts P Raharja-Liu Technische Universität München, 2015 | | 2015 |
Julien GagneurProfessor, TUM, MunichПодтвержден адрес электронной почты в домене in.tum.de
