Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Zakeri, Pooya"'
Autor:
Subramanian, Abhishek, Zakeri, Pooya, Mousa, Mira, Alnaqbi, Halima, Alshamsi, Fatima Yousif, Bettoni, Leo, Damiani, Ernesto, Alsafar, Habiba, Saeys, Yvan, Carmeliet, Peter
Publikováno v:
In Computational and Structural Biotechnology Journal 2022 20:5235-5255
Autor:
Jiang, Yuxiang, Oron, Tal Ronnen, Clark, Wyatt T, Bankapur, Asma R, D'Andrea, Daniel, Lepore, Rosalba, Funk, Christopher S, Kahanda, Indika, Verspoor, Karin M, Ben-Hur, Asa, Koo, Emily, Penfold-Brown, Duncan, Shasha, Dennis, Youngs, Noah, Bonneau, Richard, Lin, Alexandra, Sahraeian, Sayed ME, Martelli, Pier Luigi, Profiti, Giuseppe, Casadio, Rita, Cao, Renzhi, Zhong, Zhaolong, Cheng, Jianlin, Altenhoff, Adrian, Skunca, Nives, Dessimoz, Christophe, Dogan, Tunca, Hakala, Kai, Kaewphan, Suwisa, Mehryary, Farrokh, Salakoski, Tapio, Ginter, Filip, Fang, Hai, Smithers, Ben, Oates, Matt, Gough, Julian, Törönen, Petri, Koskinen, Patrik, Holm, Liisa, Chen, Ching-Tai, Hsu, Wen-Lian, Bryson, Kevin, Cozzetto, Domenico, Minneci, Federico, Jones, David T, Chapman, Samuel, C., Dukka B K., Khan, Ishita K, Kihara, Daisuke, Ofer, Dan, Rappoport, Nadav, Stern, Amos, Cibrian-Uhalte, Elena, Denny, Paul, Foulger, Rebecca E, Hieta, Reija, Legge, Duncan, Lovering, Ruth C, Magrane, Michele, Melidoni, Anna N, Mutowo-Meullenet, Prudence, Pichler, Klemens, Shypitsyna, Aleksandra, Li, Biao, Zakeri, Pooya, ElShal, Sarah, Tranchevent, Léon-Charles, Das, Sayoni, Dawson, Natalie L, Lee, David, Lees, Jonathan G, Sillitoe, Ian, Bhat, Prajwal, Nepusz, Tamás, Romero, Alfonso E, Sasidharan, Rajkumar, Yang, Haixuan, Paccanaro, Alberto, Gillis, Jesse, Sedeño-Cortés, Adriana E, Pavlidis, Paul, Feng, Shou, Cejuela, Juan M, Goldberg, Tatyana, Hamp, Tobias, Richter, Lothar, Salamov, Asaf, Gabaldon, Toni, Marcet-Houben, Marina, Supek, Fran, Gong, Qingtian, Ning, Wei, Zhou, Yuanpeng, Tian, Weidong, Falda, Marco, Fontana, Paolo, Lavezzo, Enrico, Toppo, Stefano, Ferrari, Carlo, Giollo, Manuel, Piovesan, Damiano, Tosatto, Silvio, del Pozo, Angela, Fernández, José M, Maietta, Paolo, Valencia, Alfonso, Tress, Michael L, Benso, Alfredo, Di Carlo, Stefano, Politano, Gianfranco, Savino, Alessandro, Rehman, Hafeez Ur, Re, Matteo, Mesiti, Marco, Valentini, Giorgio, Bargsten, Joachim W, van Dijk, Aalt DJ, Gemovic, Branislava, Glisic, Sanja, Perovic, Vladmir, Veljkovic, Veljko, Veljkovic, Nevena, Almeida-e-Silva, Danillo C, Vencio, Ricardo ZN, Sharan, Malvika, Vogel, Jörg, Kansakar, Lakesh, Zhang, Shanshan, Vucetic, Slobodan, Wang, Zheng, Sternberg, Michael JE, Wass, Mark N, Huntley, Rachael P, Martin, Maria J, O'Donovan, Claire, Robinson, Peter N, Moreau, Yves, Tramontano, Anna, Babbitt, Patricia C, Brenner, Steven E, Linial, Michal, Orengo, Christine A, Rost, Burkhard, Greene, Casey S, Mooney, Sean D, Friedberg, Iddo, Radivojac, Predrag
Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations in technology for generating data and the inherently stochastic nature
Externí odkaz:
http://arxiv.org/abs/1601.00891
Autor:
Arany, Adam, Simm, Jaak, Zakeri, Pooya, Haber, Tom, Wegner, Jörg K., Chupakhin, Vladimir, Ceulemans, Hugo, Moreau, Yves
The understanding of the type of inhibitory interaction plays an important role in drug design. Therefore, researchers are interested to know whether a drug has competitive or non-competitive interaction to particular protein targets. Method: to anal
Externí odkaz:
http://arxiv.org/abs/1512.00315
Autor:
Simm, Jaak, Arany, Adam, Zakeri, Pooya, Haber, Tom, Wegner, Jörg K., Chupakhin, Vladimir, Ceulemans, Hugo, Moreau, Yves
We propose Macau, a powerful and flexible Bayesian factorization method for heterogeneous data. Our model can factorize any set of entities and relations that can be represented by a relational model, including tensors and also multiple relations for
Externí odkaz:
http://arxiv.org/abs/1509.04610
Autor:
Cantini, Laura, Zakeri, Pooya, Hernandez, Céline, Naldi, Aurelien, Thieffry, Denis, Remy, Elisabeth, Baudot, Anaïs
Publikováno v:
Nature Communications
Nature Communications, Nature Publishing Group, 2021, 12, ⟨10.1038/s41467-020-20430-7⟩
Nature Communications, 2021, 12, ⟨10.1038/s41467-020-20430-7⟩
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Nature Communications, Nature Publishing Group, 2021, 12, ⟨10.1038/s41467-020-20430-7⟩
Nature Communications, 2021, 12, ⟨10.1038/s41467-020-20430-7⟩
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
High-dimensional multi-omics data are now standard in biology. They can greatly enhance our understanding of biological systems when effectively integrated. To achieve proper integration, joint Dimensionality Reduction (jDR) methods are among the mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::f3be27ba3ecbdafa8224a315f9ac6879
https://hal.archives-ouvertes.fr/hal-03102088
https://hal.archives-ouvertes.fr/hal-03102088
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Akademický článek
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Akademický článek
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Publikováno v:
Bioinformatics & Biomedical Engineering; 2016, p765-778, 14p
Publikováno v:
2015 IEEE International Conference on Bioinformatics & Biomedicine (BIBM); 2015, p1559-1565, 7p