Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ghalia Rehawi"'
Autor:
Yue Hu, Ghalia Rehawi, Lambert Moyon, Nathalie Gerstner, Christoph Ogris, Janine Knauer-Arloth, Florian Bittner, Annalisa Marsico, Nikola S. Mueller
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
COVID-19 is a heterogeneous disease caused by SARS-CoV-2. Aside from infections of the lungs, the disease can spread throughout the body and damage many other tissues, leading to multiorgan failure in severe cases. The highly variable symptom severit
Externí odkaz:
https://doaj.org/article/61cf86274b1a4c7a937948675af97a9b
Autor:
Ahmed Elnaggar, Debsindhu Bhowmik, Ghalia Rehawi, Llion Jones, Christian Dallago, Michael Heinzinger, Burkhard Rost, Wang Yu, Tom Gibbs, Martin Steinegger, Tamas Feher, Christoph Angerer
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:7112-7127
Computational biology and bioinformatics provide vast data gold-mines from protein sequences, ideal for Language Models (LMs) taken from Natural Language Processing (NLP). These LMs reach for new prediction frontiers at low inference costs. Here, we
Autor:
Yue Hu, Ghalia Rehawi, Lambert Moyon, Nathalie Gerstner, Christoph Ogris, Janine Knauer-Arloth, Florian Bittner, Annalisa Marsico, Nikola S. Mueller
Publikováno v:
Front. Genet. 13:909714 (2022)
COVID-19 is a heterogeneous disease caused by SARS-CoV-2. Aside from infections of the lungs, the disease can spread throughout the body and damage many other tissues, leading to multiorgan failure in severe cases. The highly variable symptom severit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91963035c2530cdb0e90e3a3dee1938a
https://mediatum.ub.tum.de/1685262
https://mediatum.ub.tum.de/1685262
Autor:
Natalie Matosin, Janine Arloth, Darina Czamara, Katrina Z. Edmond, Malosree Maitra, Anna Sophie Fröhlich, Silvia Martinelli, Dominic Kaul, Rachael Bartlett, Amber R. Curry, Nils C. Gassen, Kathrin Hafner, Nikola S Müller, Karolina Worf, Ghalia Rehawi, Corina Nagy, Thorhildur Halldorsdottir, Cristiana Cruceanu, Miriam Gagliardi, Nathalie Gerstner, Maik Ködel, Vanessa Murek, Michael J Ziller, Elizabeth Scarr, Ran Tao, Andrew E. Jaffe, Thomas Arzberger, Peter Falkai, Joel E. Kleinmann, Daniel R. Weinberger, Naguib Mechawar, Andrea Schmitt, Brian Dean, Gustavo Turecki, Thomas M. Hyde, Elisabeth B. Binder
Identification and characterisation of novel targets for treatment is a priority in the field of psychiatry.FKBP5is a gene with decades of evidence suggesting its pathogenic role in a subset of psychiatric patients, with potential to be leveraged as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90df05b67e6f42174d7c4ade5b831fb6
https://doi.org/10.1101/2021.01.27.428487
https://doi.org/10.1101/2021.01.27.428487
Autor:
Martin Steinegger, Ahmed Elnaggar, Christoph Angerer, Llion Jones, Debsindhu Bhowmik, Yu Wang, Tamas Feher, Burkhard Rost, Tom Gibbs, Christian Dallago, Michael Heinzinger, Ghalia Rehawi
Computational biology and bioinformatics provide vast data gold-mines from protein sequences, ideal for Language Models taken from NLP. These LMs reach for new prediction frontiers at low inference costs. Here, we trained two auto-regressive models (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28a2db44e30227dd783ba9fff95bb8ae
https://doi.org/10.1101/2020.07.12.199554
https://doi.org/10.1101/2020.07.12.199554