Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Alpha Tom, Kodamullil"'
Autor:
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
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 4, Iss , Pp 100078- (2023)
Background: Biomedical knowledge graphs (KG) have become crucial for describing biological findings in a structured manner. To keep up with the constantly changing flow of knowledge, their embedded information must be regularly updated with the lates
Externí odkaz:
https://doaj.org/article/2d81908cce8d47bdbbb0de9dfedccef6
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21502- (2023)
Objectives: Knowledge graphs and ontologies in the biomedical domain provide rich contextual knowledge for a variety of challenges. Employing that for knowledge-driven NLP tasks such as gene-disease association prediction represents a promising way t
Externí odkaz:
https://doaj.org/article/5a08171170c84f9ca7a05ec255e43362
Autor:
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
Publikováno v:
Data, Vol 9, Iss 2, p 25 (2024)
Although hundreds of datasets have been published since the beginning of the coronavirus pandemic, there is a lack of centralized resources where these datasets are listed and harmonized to facilitate their applicability and uptake by predictive mode
Externí odkaz:
https://doaj.org/article/e2d09c79499543abac869de80b7c4423
Autor:
Rebeca Queiroz Figueiredo, Sara Díaz del Ser, Tamara Raschka, Martin Hofmann-Apitius, Alpha Tom Kodamullil, Sarah Mubeen, Daniel Domingo-Fernández
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-21 (2022)
Abstract Distinct gene expression patterns within cells are foundational for the diversity of functions and unique characteristics observed in specific contexts, such as human tissues and cell types. Though some biological processes commonly occur ac
Externí odkaz:
https://doaj.org/article/97fce699a2e64e07811d8a3986a9d328
Autor:
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
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 2, Iss , Pp 100032- (2022)
Externí odkaz:
https://doaj.org/article/5a320d6d6a6f48538d8322230d437d85
Autor:
Sepehr Golriz Khatami, Sarah Mubeen, Vinay Srinivas Bharadhwaj, Alpha Tom Kodamullil, Martin Hofmann-Apitius, Daniel Domingo-Fernández
Publikováno v:
npj Systems Biology and Applications, Vol 7, Iss 1, Pp 1-9 (2021)
Abstract The utility of pathway signatures lies in their capability to determine whether a specific pathway or biological process is dysregulated in a given patient. These signatures have been widely used in machine learning (ML) methods for a variet
Externí odkaz:
https://doaj.org/article/6393f011511e4fadb3e36678d182282d
Autor:
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
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract The SARS-CoV-2 pandemic has challenged researchers at a global scale. The scientific community’s massive response has resulted in a flood of experiments, analyses, hypotheses, and publications, especially in the field of drug repurposing.
Externí odkaz:
https://doaj.org/article/18b0a7d14b824058a3306b2a9990465c
Autor:
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
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 1, Iss , Pp 100020- (2021)
Despite available vaccinations COVID-19 case numbers around the world are still growing, and effective medications against severe cases are lacking. In this work, we developed a machine learning model which predicts mortality for COVID-19 patients us
Externí odkaz:
https://doaj.org/article/f1ebf07fad2e486282bb8146b1b0d351
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-8 (2019)
Abstract Background Literature derived knowledge assemblies have been used as an effective way of representing biological phenomenon and understanding disease etiology in systems biology. These include canonical pathway databases such as KEGG, Reacto
Externí odkaz:
https://doaj.org/article/0603e0a11c9d46efbb6f1ad235a9878c
Autor:
Philipp, Wegner, Geena Mariya, Jose, Vanessa, Lage-Rupprecht, Sepehr, Golriz Khatami, Bide, Zhang, Stephan, Springstubbe, Marc, Jacobs, Thomas, Linden, Cindy, Ku, Bruce, Schultz, Martin, Hofmann-Apitius, Alpha Tom, Kodamullil
Publikováno v:
Bioinformatics. 38:5466-5468
Motivation A global medical crisis like the coronavirus disease 2019 (COVID-19) pandemic requires interdisciplinary and highly collaborative research from all over the world. One of the key challenges for collaborative research is a lack of interoper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96d0fb165928139c59a72647b00a1536
https://doi.org/10.1093/bioinformatics/btac651
https://doi.org/10.1093/bioinformatics/btac651