Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Raul Rodriguez-Esteban"'
Autor:
Philipp Cimiano, Ben Collins, Maria Carmela De Vuono, Thierry Escudier, Jürgen Gottowik, Matthias Hartung, Mathias Leddin, Bikalpa Neupane, Raul Rodriguez-Esteban, Ana Lucia Schmidt, Cornelius Starke-Knäusel, Maarten Voorhaar, Krzysztof Wieckowski
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Patients, life science industry and regulatory authorities are united in their goal to reduce the disease burden of patients by closing remaining unmet needs. Patients have, however, not always been systematically and consistently involved in the dru
Externí odkaz:
https://doaj.org/article/e5abb5d01e8e4320baa1e8a71fd224e8
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Drug resistance caused by mutations is a public health threat for existing and emerging viral diseases. A wealth of evidence about these mutations and their clinically associated phenotypes is scattered across the literature, but a comprehen
Externí odkaz:
https://doaj.org/article/c309742550b34f8fb0a789ce52afb184
Autor:
Raul Rodriguez-Esteban
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-10 (2021)
Abstract Background Numerous efforts have been poured into annotating the wealth of knowledge contained in biomedical articles. Thanks to such efforts, it is now possible to quantitatively explore relations between these annotations and the citation
Externí odkaz:
https://doaj.org/article/9f6024694dfc4505a8b8bac900437d68
Autor:
Raul Rodriguez-Esteban
Publikováno v:
PeerJ, Vol 10, p e12764 (2022)
Delays in the propagation of scientific discoveries across scientific communities have been an oft-maligned feature of scientific research for introducing a bias towards knowledge that is produced within a scientist’s closest community. The vastnes
Externí odkaz:
https://doaj.org/article/6840f6554b0749e788bc82d76a7bb5bc
Autor:
Tobe Che Benjamin Freeman, Raul Rodriguez-Esteban, Juergen Gottowik, Xing Yang, Veit Johannes Erpenbeck, Mathias Leddin
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 11, p e26272 (2021)
BackgroundThe abundance of online content contributed by patients is a rich source of insight about the lived experience of disease. Patients share disease experiences with other members of the patient and caregiver community and do so using their ow
Externí odkaz:
https://doaj.org/article/6faa09edd990423b966b50ba8b0f4d62
Publikováno v:
Molecular Cytogenetics, Vol 12, Iss 1, Pp 1-6 (2019)
Abstract Background We have previously described evidence for a statistically significant, global, supra-chromosomal representation of the human body that appears to stretch over the entire genome. Results Here, we extend the genome mapping model, zo
Externí odkaz:
https://doaj.org/article/039bf18ed9e248dba9a3e6518914fcc6
Autor:
Raul Rodriguez-Esteban, Xiaoyu Jiang
Publikováno v:
BMC Medical Genomics, Vol 10, Iss 1, Pp 1-10 (2017)
Abstract Background Differential gene expression is important to understand the biological differences between healthy and diseased states. Two common sources of differential gene expression data are microarray studies and the biomedical literature.
Externí odkaz:
https://doaj.org/article/11c52f70826a4b298100739dec130f00
Autor:
Raul Rodriguez-Esteban
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 4, p e1004852 (2016)
Drugs are often seen as ancillary to the purpose of fighting diseases. Here an alternative view is proposed in which they occupy a spearheading role. In this view, drugs are technologies with an inherent therapeutic potential. Once created, they can
Externí odkaz:
https://doaj.org/article/b94fcbc00d944501b39271673bfe324d
Autor:
Raul Rodriguez-Esteban
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 12, p e1000597 (2009)
Externí odkaz:
https://doaj.org/article/1bbf74750815412ba8b4dba065d9d540
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 11, p e1000559 (2009)
We have generated and made publicly available two very large networks of molecular interactions: 49,493 mouse-specific and 52,518 human-specific interactions. These networks were generated through automated analysis of 368,331 full-text research arti
Externí odkaz:
https://doaj.org/article/f5e143fd80564506acf5526e8202cbbc