Zobrazeno 1 - 10
of 451
pro vyhledávání: '"Albert-László Barabási"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract While philanthropic support for science has increased in the past decade, there is limited quantitative knowledge about the patterns that characterize it and the mechanisms that drive its distribution. Here, we map philanthropic funding to u
Externí odkaz:
https://doaj.org/article/efb291c5b96f4101ab9d8ab44d5f9967
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract In the recent decade, we have seen major progress in quantifying the behaviors and the impact of scientists, resulting in a quantitative toolset capable of monitoring and predicting the career patterns of the profession. It is unclear, howev
Externí odkaz:
https://doaj.org/article/221922d2b19e4310b2e322a789dc7ebf
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract A significant portion of funding for art comes from foundations, representing a key revenue stream for most art organizations. Little is known, however, about the quantitative patterns that govern art funding, limiting the fundraising effici
Externí odkaz:
https://doaj.org/article/6c15e75f956f480c945d1b7f753f757d
Publikováno v:
iScience, Vol 26, Iss 12, Pp 108361- (2023)
Summary: The depth of knowledge offered by post-genomic medicine has carried the promise of new drugs, and cures for multiple diseases. To explore the degree to which this capability has materialized, we extract meta-data from 356,403 clinical trials
Externí odkaz:
https://doaj.org/article/a9883be4113243f1811436051459faec
Publikováno v:
Panorama, Vol 9, Iss 2 (2023)
Externí odkaz:
https://doaj.org/article/f5d66ea5d8bd4c94ae75bb34c87341e1
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Despite the accumulating evidence that increased consumption of ultra-processed food has adverse health implications, it remains difficult to decide what constitutes processed food. Indeed, the current processing-based classification of food
Externí odkaz:
https://doaj.org/article/80aadb9d8ba64680bf930eae5377bff2
Autor:
Ayan Chatterjee, Robin Walters, Zohair Shafi, Omair Shafi Ahmed, Michael Sebek, Deisy Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
State-of-the-art machine learning models in drug discovery fail to reliably predict the binding properties of poorly annotated proteins and small molecules. Here, the authors present AI-Bind, a machine learning pipeline to improve generalizability an
Externí odkaz:
https://doaj.org/article/6269a5ed797a41ff898a72b3ecaaee47
Autor:
Xu-Wen Wang, Lorenzo Madeddu, Kerstin Spirohn, Leonardo Martini, Adriano Fazzone, Luca Becchetti, Thomas P. Wytock, István A. Kovács, Olivér M. Balogh, Bettina Benczik, Mátyás Pétervári, Bence Ágg, Péter Ferdinandy, Loan Vulliard, Jörg Menche, Stefania Colonnese, Manuela Petti, Gaetano Scarano, Francesca Cuomo, Tong Hao, Florent Laval, Luc Willems, Jean-Claude Twizere, Marc Vidal, Michael A. Calderwood, Enrico Petrillo, Albert-László Barabási, Edwin K. Silverman, Joseph Loscalzo, Paola Velardi, Yang-Yu Liu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Comprehensive understanding of the human protein-protein interaction network, aka the human interactome, can provide important insights into the molecular mechanisms of complex biological processes and diseases. Here the authors summarize the communi
Externí odkaz:
https://doaj.org/article/0aec14fc0b0a4a9f86440753275acd42
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Visualization of large complex networks is challenging with limitations for the network size and depicting specific structures. The authors propose a Graph Neural Network based algorithm with improved speed and the quality of graph layouts, which all
Externí odkaz:
https://doaj.org/article/c9d02f0311d6413081056c169a0b3446
Autor:
Jie Huang, Jennifer E. Huffman, Yunfeng Huang, Ítalo Do Valle, Themistocles L. Assimes, Sridharan Raghavan, Benjamin F. Voight, Chang Liu, Albert-László Barabási, Rose D. L. Huang, Qin Hui, Xuan-Mai T. Nguyen, Yuk-Lam Ho, Luc Djousse, Julie A. Lynch, Marijana Vujkovic, Catherine Tcheandjieu, Hua Tang, Scott M. Damrauer, Peter D. Reaven, Donald Miller, Lawrence S. Phillips, Maggie C. Y. Ng, Mariaelisa Graff, Christopher A. Haiman, Ruth J. F. Loos, Kari E. North, Loic Yengo, George Davey Smith, Danish Saleheen, J. Michael Gaziano, Daniel J. Rader, Philip S. Tsao, Kelly Cho, Kyong-Mi Chang, Peter W. F. Wilson, VA Million Veteran Program, Yan V. Sun, Christopher J. O’Donnell
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Elevated body mass index is heritable and associated with many health conditions that impact morbidity and mortality. Here, the authors identify greater than 900 genetic loci for body mass index (BMI) and find over 300 diagnoses associated with incre
Externí odkaz:
https://doaj.org/article/06e868b6d30b40ac93e6e40a0445cc48