Zobrazeno 1 - 10
of 26 810
pro vyhledávání: '"Reis-Filho"'
Autor:
Zimmermann, Johannes, Wiktorek, Dariusz, Meusburger, Thomas, Monge-Dalmau, Miquel, Fabregat, Antonio, Jarasch, Alexander, Schmidt, Günter, Reis-Filho, Jorge S., Simpson, T. Ian
As the number of scientific publications and preprints is growing exponentially, several attempts have been made to navigate this complex and increasingly detailed landscape. These have almost exclusively taken unsupervised approaches that fail to in
Externí odkaz:
http://arxiv.org/abs/2408.03339
Autor:
Tiago João José Alves
Publikováno v:
Diálogos, Vol 19, Iss 2, Pp 871-894 (2016)
Nesta entrevista, Daniel Aarão Reis Filho conta sua experiência no exílio, fala sobre a decisão de escolher Moçambique como destino e a sua atividade profissional na Universidade Eduardo Mondlane. Comenta suas opiniões a respeito do papel da Fr
Externí odkaz:
https://doaj.org/article/351017bfd30d4ef0a4692af5eda94a57
Autor:
José Alves, Tiago João1 tiagojjalves@gmail.com
Publikováno v:
Dialogos (14159945). mai-ago2015, Vol. 19 Issue 2, p871-894. 24p.
Autor:
Noberto, Lineker1 lineker.noberto@yahoo.com.br
Publikováno v:
História Oral. jan-abr2024, Vol. 27 Issue 1, p97-114. 18p.
Autor:
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys I. Carrero, Tobias Seibel, Marko van Treeck, Didem Cifci, Marco Gustav, Kevin Bretz, Nadine T. Gaisa, Kjong-Van Lehmann, Alexandra Leary, Pier Selenica, Jorge S. Reis-Filho, Nadina Ortiz-Bruechle, Jakob Nikolas Kather
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Homologous recombination deficiency (HRD) is recognized as a pan-cancer predictive biomarker that potentially indicates who could benefit from treatment with PARP inhibitors (PARPi). Despite its clinical significance, HRD testing
Externí odkaz:
https://doaj.org/article/003303862b20434e84941368c6c014a7
Autor:
Kurt Schmid, Friedrich Wolfgang Keppeler, Fabio Renan Miranda da Silva, Jhully Helen da Silva Santos, Simone Franceschini, Jakob Brodersen, Tommaso Russo, Euan Harvey, José Amorim Reis-Filho, Tommaso Giarrizzo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The increase in the construction of mega dams in tropical basins is considered a threat to freshwater fish diversity. Although difficult to detect in conventional monitoring programs, rheophilic species and those reliant on shallow habitats
Externí odkaz:
https://doaj.org/article/89af0a8ed8ce4ec585e781eb31d70508
Autor:
Manisha Jalan, Aman Sharma, Xin Pei, Nils Weinhold, Erika S. Buechelmaier, Yingjie Zhu, Sana Ahmed-Seghir, Abhirami Ratnakumar, Melody Di Bona, Niamh McDermott, Joan Gomez-Aguilar, Kyrie S. Anderson, Charlotte K. Y. Ng, Pier Selenica, Samuel F. Bakhoum, Jorge S. Reis-Filho, Nadeem Riaz, Simon N. Powell
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Collisions of the transcription and replication machineries on the same DNA strand can pose a significant threat to genomic stability. These collisions occur in part due to the formation of RNA-DNA hybrids termed R-loops, in which a newly tr
Externí odkaz:
https://doaj.org/article/7cd61270c6534754a1bbd7203bce046c
Autor:
Yingjie Zhu, Xin Pei, Ardijana Novaj, Jeremy Setton, Daniel Bronder, Fatemeh Derakhshan, Pier Selenica, Niamh McDermott, Mehmet Orman, Sarina Plum, Shyamal Subramanyan, Sara H. Braverman, Biko McMillan, Sonali Sinha, Jennifer Ma, Andrea Gazzo, Atif Khan, Samuel Bakhoum, Simon N. Powell, Jorge S. Reis-Filho, Nadeem Riaz
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-17 (2024)
Abstract Background Pathogenic BRCA1 or BRCA2 germline mutations contribute to hereditary breast, ovarian, prostate, and pancreatic cancer. Paradoxically, bi-allelic inactivation of BRCA1 or BRCA2 (bBRCA1/2) is embryonically lethal and decreases cell
Externí odkaz:
https://doaj.org/article/a99e307f304a411b854e096a6e780f20
Autor:
Nahhas, Omar S. M. El, Loeffler, Chiara M. L., Carrero, Zunamys I., van Treeck, Marko, Kolbinger, Fiona R., Hewitt, Katherine J., Muti, Hannah S., Graziani, Mara, Zeng, Qinghe, Calderaro, Julien, Ortiz-Brüchle, Nadina, Yuan, Tanwei, Hoffmeister, Michael, Brenner, Hermann, Brobeil, Alexander, Reis-Filho, Jorge S., Kather, Jakob Nikolas
Deep Learning (DL) can predict biomarkers from cancer histopathology. Several clinically approved applications use this technology. Most approaches, however, predict categorical labels, whereas biomarkers are often continuous measurements. We hypothe
Externí odkaz:
http://arxiv.org/abs/2304.05153