Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Luca Cappelletti"'
Autor:
Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya B. Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner, Lawrence E. Hunter
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-22 (2024)
Abstract Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenge
Externí odkaz:
https://doaj.org/article/2ba11bcf971c40478fb1f6a852218703
Autor:
Arnaud Gaudry, Marco Pagni, Florence Mehl, Sébastien Moretti, Luis-Manuel Quiros-Guerrero, Luca Cappelletti, Adriano Rutz, Marcel Kaiser, Laurence Marcourt, Emerson Ferreira Queiroz, Jean-Robert Ioset, Antonio Grondin, Bruno David, Jean-Luc Wolfender, Pierre-Marie Allard
Publikováno v:
ACS Central Science, Vol 10, Iss 3, Pp 494-510 (2024)
Externí odkaz:
https://doaj.org/article/ef6be9955f1d45bfa7103bcdff7d92d9
Autor:
Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini
Publikováno v:
BMC Bioinformatics, Vol 23, Iss S2, Pp 1-32 (2022)
Abstract Background Cis-regulatory regions (CRRs) are non-coding regions of the DNA that fine control the spatio-temporal pattern of transcription; they are involved in a wide range of pivotal processes such as the development of specific cell-lines/
Externí odkaz:
https://doaj.org/article/cdb63f7408194072a8ae2b48da4f8615
Autor:
Justin T. Reese, Ben Coleman, Lauren Chan, Hannah Blau, Tiffany J. Callahan, Luca Cappelletti, Tommaso Fontana, Katie R. Bradwell, Nomi L. Harris, Elena Casiraghi, Giorgio Valentini, Guy Karlebach, Rachel Deer, Julie A. McMurry, Melissa A. Haendel, Christopher G. Chute, Emily Pfaff, Richard Moffitt, Heidi Spratt, Jasvinder A. Singh, Christopher J. Mungall, Andrew E. Williams, Peter N. Robinson
Publikováno v:
Virology Journal, Vol 19, Iss 1, Pp 1-9 (2022)
Abstract Background Non-steroidal anti-inflammatory drugs (NSAIDs) are commonly used to reduce pain, fever, and inflammation but have been associated with complications in community-acquired pneumonia. Observations shortly after the start of the COVI
Externí odkaz:
https://doaj.org/article/a0f66f949ac04967b6bd09f93e3f2e37
Autor:
Justin T. Reese, Hannah Blau, Elena Casiraghi, Timothy Bergquist, Johanna J. Loomba, Tiffany J. Callahan, Bryan Laraway, Corneliu Antonescu, Ben Coleman, Michael Gargano, Kenneth J. Wilkins, Luca Cappelletti, Tommaso Fontana, Nariman Ammar, Blessy Antony, T.M. Murali, J. Harry Caufield, Guy Karlebach, Julie A. McMurry, Andrew Williams, Richard Moffitt, Jineta Banerjee, Anthony E. Solomonides, Hannah Davis, Kristin Kostka, Giorgio Valentini, David Sahner, Christopher G. Chute, Charisse Madlock-Brown, Melissa A. Haendel, Peter N. Robinson, Heidi Spratt, Shyam Visweswaran, Joseph Eugene Flack, IV, Yun Jae Yoo, Davera Gabriel, G. Caleb Alexander, Hemalkumar B. Mehta, Feifan Liu, Robert T. Miller, Rachel Wong, Elaine L. Hill, Lorna E. Thorpe, Jasmin Divers
Publikováno v:
EBioMedicine, Vol 87, Iss , Pp 104413- (2023)
Summary: Background: Stratification of patients with post-acute sequelae of SARS-CoV-2 infection (PASC, or long COVID) would allow precision clinical management strategies. However, long COVID is incompletely understood and characterised by a wide ra
Externí odkaz:
https://doaj.org/article/f4635ea98874437da59d335d9ba0de7a
Autor:
Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, Marco Frasca, Luca Cappelletti, Tommaso Fontana, Alessandro Andrea Esposito, Emanuele Avola, Alessandro Jachetti, Justin Reese, Alessandro Rizzi, Peter N. Robinson, Giorgio Valentini
Publikováno v:
IEEE Access, Vol 8, Pp 196299-196325 (2020)
Between January and October of 2020, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has infected more than 34 million persons in a worldwide pandemic leading to over one million deaths worldwide (data from the Johns Hopkins Un
Externí odkaz:
https://doaj.org/article/11204e6f987d464c91550444e81926bb
Publikováno v:
Sensors & Transducers, Vol 234, Iss 6, Pp 16-21 (2019)
Known pathogenic variants associated with genetic Mendelian diseases represent a tiny minority of the overall genetic variation that characterizes the human genome. In this context classical imbalance-aware machine learning methods are unable to dist
Externí odkaz:
https://doaj.org/article/ea83f4cb4baf40fcaf634090c5fcaaa6
Autor:
Justin T. Reese, Deepak Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Kent A. Shefchek, Benjamin M. Good, James P. Balhoff, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall
Publikováno v:
Patterns, Vol 2, Iss 1, Pp 100155- (2021)
Summary: Integrated, up-to-date data about SARS-CoV-2 and COVID-19 is crucial for the ongoing response to the COVID-19 pandemic by the biomedical research community. While rich biological knowledge exists for SARS-CoV-2 and related viruses (SARS-CoV,
Externí odkaz:
https://doaj.org/article/9e19b29da8ec431ca617fc2a36eacbf0
Autor:
Luca Cappelletti, Tommaso Fontana, Guido Walter Di Donato, Lorenzo Di Tucci, Elena Casiraghi, Giorgio Valentini
Publikováno v:
Computers, Vol 9, Iss 2, p 37 (2020)
Missing data imputation has been a hot topic in the past decade, and many state-of-the-art works have been presented to propose novel, interesting solutions that have been applied in a variety of fields. In the past decade, the successful results ach
Externí odkaz:
https://doaj.org/article/6c3f05549ed741cb821252e07bc79064
Autor:
Luca Cappelletti, Lauren Rekerle, Tommaso Fontana, Peter Hansen, Elena Casiraghi, Vida Ravanmehr, Christopher J Mungall, Jeremy Yang, Leonard Spranger, Guy Karlebach, J. Harry Caufield, Leigh Carmody, Ben Coleman, Tudor Oprea, Justin Reese, Giorgio Valentini, Peter N Robinson
Graph representation learning is a family of related approaches that learn low-dimensional vector representations of nodes and other graph elements called embeddings. Embeddings approximate characteristics of the graph and can be used for a variety o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b91f6c80ffe2a5099baac6ccb7091289
https://doi.org/10.1101/2022.11.21.517376
https://doi.org/10.1101/2022.11.21.517376