Showing 1 - 13 results of 13 for search 'Alpha T. Kodamullil', query time: 0.05s
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Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures by Sepehr Golriz Khatami, Sarah Mubeen, Vinay Srinivas Bharadhwaj, Alpha Tom Kodamullil, Martin Hofmann-Apitius, Daniel Domingo-Fernández
Published 2021-10-01
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Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets by Rebeca Queiroz Figueiredo, Sara Díaz del Ser, Tamara Raschka, Martin Hofmann-Apitius, Alpha Tom Kodamullil, Sarah Mubeen, Daniel Domingo-Fernández
Published 2022-06-01
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Linking COVID-19 and Heme-Driven Pathophysiologies: A Combined Computational–Experimental Approach by Marie-Thérèse Hopp, Daniel Domingo-Fernández, Yojana Gadiya, Milena S. Detzel, Regina Graf, Benjamin F. Schmalohr, Alpha T. Kodamullil, Diana Imhof, Martin Hofmann-Apitius
Published 2021-04-01
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Bioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative Disorders by Martin Hofmann-Apitius, Gordon Ball, Stephan Gebel, Shweta Bagewadi, Bernard de Bono, Reinhard Schneider, Matt Page, Alpha Tom Kodamullil, Erfan Younesi, Christian Ebeling, Jesper Tegnér, Luc Canard
Published 2015-12-01
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A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs by Negin Sadat Babaiha, Hassan Elsayed, Bide Zhang, Abish Kaladharan, Priya Sethumadhavan, Bruce Schultz, Jürgen Klein, Bruno Freudensprung, Vanessa Lage-Rupprecht, Alpha Tom Kodamullil, Marc Jacobs, Stefan Geissler, Sumit Madan, Martin Hofmann-Apitius
Published 2023-12-01
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Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk by Sepehr Golriz Khatami, Astghik Sargsyan, Maria Francesca Russo, Daniel Domingo-Fernández, Andrea Zaliani, Abish Kaladharan, Priya Sethumadhavan, Sarah Mubeen, Yojana Gadiya, Reagon Karki, Stephan Gebel, Ram Kumar Ruppa Surulinathan, Vanessa Lage-Rupprecht, Saulius Archipovas, Geltrude Mingrone, Marc Jacobs, Carsten Claussen, Martin Hofmann-Apitius, Alpha Tom Kodamullil
Published 2024-01-01
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Corrigendum to “Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases”[Artificial Intelligence in Life Science... by Thomas Linden, Frank Hanses, Daniel Domingo-Fernández, Lauren Nicole DeLong, Alpha Tom Kodamullil, Jochen Schneider, Maria J.G.T. Vehreschild, Julia Lanznaster, Maria Madeleine Ruethrich, Stefan Borgmann, Martin Hower, Kai Wille, Torsten Feldt, Siegbert Rieg, Bernd Hertenstein, Christoph Wyen, Christoph Roemmele, Jörg Janne Vehreschild, Carolin E.M. Jakob, Melanie Stecher, Maria Kuzikov, Andrea Zaliani, Holger Fröhlich
Published 2022-12-01
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Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases by Thomas Linden, Frank Hanses, Daniel Domingo-Fernández, Lauren Nicole DeLong, Alpha Tom Kodamullil, Jochen Schneider, Maria J.G.T. Vehreschild, Julia Lanznaster, Maria Madeleine Ruethrich, Stefan Borgmann, Martin Hower, Kai Wille, Torsten Feldt, Siegbert Rieg, Bernd Hertenstein, Christoph Wyen, Christoph Roemmele, Jörg Janne Vehreschild, Carolin E.M. Jakob, Melanie Stecher, Maria Kuzikov, Andrea Zaliani, Holger Fröhlich
Published 2021-12-01
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A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization by Bruce Schultz, Andrea Zaliani, Christian Ebeling, Jeanette Reinshagen, Denisa Bojkova, Vanessa Lage-Rupprecht, Reagon Karki, Sören Lukassen, Yojana Gadiya, Neal G. Ravindra, Sayoni Das, Shounak Baksi, Daniel Domingo-Fernández, Manuel Lentzen, Mark Strivens, Tamara Raschka, Jindrich Cinatl, Lauren Nicole DeLong, Phil Gribbon, Gerd Geisslinger, Sandra Ciesek, David van Dijk, Steve Gardner, Alpha Tom Kodamullil, Holger Fröhlich, Manuel Peitsch, Marc Jacobs, Julia Hoeng, Roland Eils, Carsten Claussen, Martin Hofmann-Apitius
Published 2021-05-01
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