Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Vida Ravanmehr"'
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, 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
Autor:
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany Callahan, Marcin Joachimiak, Christopher Mungall, Justin Reese, Peter Robinson, Giorgio Valentini
Graph Representation Learning methods opened new possibilities for addressing complex,real-world problems represented by graphs. However, many graphs used in these applicationscomprise millions of nodes and billions of edges and are beyond the capabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::288f7e78b580078b95832b4d701da196
https://doi.org/10.21203/rs.3.rs-967145/v1
https://doi.org/10.21203/rs.3.rs-967145/v1
Autor:
Qing Deng, Cem Meydan, Priya Lakra, Darko Barisic, Christopher R Chin, Estela Rojas-Neira, Vida Ravanmehr, Jared Henderson, Panhong Gou, Nader Kim El-Mallawany, Carl Allen, Branko Cuglievan, Francisco Vega, Christopher E Mason, Ari Melnick, Michael R Green
Publikováno v:
Blood. 140:1690-1691
Autor:
Nitin Agarwal, Akanksha Aradhya, Mario L. Marques-Piubelli, Luisa M Solis Soto, Daniel Bilbao, Ralf Landgraf, Vida Ravanmehr, Jared Henderson, Michael R. Green, Eric Davis, Francisco Vega
Publikováno v:
Blood. 140:1320-1321
Autor:
Haopeng Yang, Wenchao Zhang, Vida Ravanmehr, Jared Henderson, Qing Deng, Felipe Samaniego, Fernando Rodrigues-Lima, Michael R Green
Publikováno v:
Blood. 140:8768-8769
Autor:
Damian Smedley, Melissa A. Haendel, Leigh C. Carmody, Michael A. Gargano, Guy Karlebach, Julie A. McMurry, Courtney Thaxton, Peter N. Robinson, Justin T. Reese, Manuel Holtgrewe, Daniel Danis, Unc Biocuration Core, Xingmin Aaron Zhang, Julius O.B. Jacobsen, Sebastian Köhler, Vida Ravanmehr
Publikováno v:
Am J Hum Genet
Human Phenotype Ontology (HPO)-based analysis has become standard for genomic diagnostics of rare diseases. Current algorithms use a variety of semantic and statistical approaches to prioritize the typically long lists of genes with candidate pathoge
Autor:
Paolo Strati, Xubin Li, Qing Deng, Mario Luiz Marques-Piubelli, Jared Henderson, Grace Balada, Laurel Deaton, Taylor Cain, Haopeng Yang, Vida Ravanmehr, Luis E. Fayad, Swaminathan Iyer, Loretta J. Nastoupil, Fredrick B. Hagemeister, Nathan H. Fowler, Jason R. Westin, Raphael E. Steiner, Ranjit Nair, Christopher R. Flowers, Linghua Wang, Sairah Ahmed, Gheath Al-Atrash, Francisco Vega, Sattva S. Neelapu, Michael Green
Publikováno v:
SSRN Electronic Journal.
Autor:
Vida Ravanmehr, Hannah Blau, Luca Cappelletti, Tommaso Fontana, Leigh Carmody, Ben Coleman, Joshy George, Justin Reese, Marcin Joachimiak, Giovanni Bocci, Peter Hansen, Carol Bult, Jens Rueter, Elena Casiraghi, Giorgio Valentini, Christopher Mungall, Tudor I Oprea, Peter N Robinson
Publikováno v:
NAR genomics and bioinformatics, vol 3, iss 4
NAR Genomics and Bioinformatics
NAR Genomics and Bioinformatics
Inhibiting protein kinases (PKs) that cause cancers has been an important topic in cancer therapy for years. So far, almost 8% of >530 PKs have been targeted by FDA-approved medications, and around 150 protein kinase inhibitors (PKIs) have been teste
Autor:
Haopeng Yang, Vida Ravanmehr, Jordan C Showell, Estela M Rojas-Neira, Jared M Henderson, Jason R Westin, Michael R Green
Publikováno v:
Blood Cancer Discovery. 3:A36-A36
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous B-cell malignancy that consists of no fewer than 5 genetic subtypes. Cell lines have been a central model system for DLBCL but fail to fully recapitulate the diversity of genetic alterations th