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Albert-La szlo Baraba si
University of Notre Dame
454Publications
115H-index
120kCitations
Publications 454
Newest
Dec 8, 2019 in NeurIPS (Neural Information Processing Systems)
#1Nima Dehmamy (NU: Northeastern University)H-Index: 2
#2Albert-La szlo Baraba si (NU: Northeastern University)H-Index: 115
Last.Rose Yu (NU: Northeastern University)H-Index: 9
view all 3 authors...
#1Feixiong ChengH-Index: 31
#2I. Kovács (NU: Northeastern University)H-Index: 28
Last.Albert-La szlo Baraba siH-Index: 115
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The original version of this Article contained an error in Acknowledgements, which incorrectly omitted the following: ‘This work was also supported by NHLBI grant P01HL132825 to A.-L.B.’ This has been corrected in both the PDF and HTML versions of the Article.
#1Feixiong ChengH-Index: 31
#2I. Kovács (NU: Northeastern University)H-Index: 28
Last.Albert-La szlo Baraba siH-Index: 115
view all 3 authors...
Drug combinations, offering increased therapeutic efficacy and reduced toxicity, play an important role in treating multiple complex diseases. Yet, our ability to identify and validate effective combinations is limited by a combinatorial explosion, driven by both the large number of drug pairs as well as dosage combinations. Here we propose a network-based methodology to identify clinically efficacious drug combinations for specific diseases. By quantifying the network-based relationship between...
#1Xindi Wang (NU: Northeastern University)H-Index: 1
#2Burcu Yucesoy (NU: Northeastern University)H-Index: 4
Last.Albert-La szlo Baraba siH-Index: 115
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Reading remains a preferred leisure activity fueling an exceptionally competitive publishing market: among more than three million books published each year, only a tiny fraction are read widely. It is largely unpredictable, however, which book will that be, and how many copies it will sell. Here we aim to unveil the features that affect the success of books by predicting a book’s sales prior to its publication. We do so by employing the Learning to Place machine learning approach, that can pred...
#1I. Kovács (NU: Northeastern University)H-Index: 28
#2Katja Luck (Harvard University)H-Index: 9
Last.Albert-La szlo Baraba siH-Index: 115
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Despite exceptional experimental efforts to map out the human interactome, the continued data incompleteness limits our ability to understand the molecular roots of human disease. Computational tools offer a promising alternative, helping identify biologically significant, yet unmapped protein-protein interactions (PPIs). While link prediction methods connect proteins on the basis of biological or network-based similarity, interacting proteins are not necessarily similar and similar proteins do ...
Synthetic lethality, the finding that the simultaneous knockout of two or more individually non-essential genes leads to cell or organism death, has offered a systematic framework to explore cellular function, and also offered therapeutic applications. Yet, the concept lacks its parallel in neuroscience - a systematic knowledge base on the role of double or higher order ablations in the functioning of a neural system. Here, we use the framework of network control to systematically predict the ab...
#1Jianxi Gao (NU: Northeastern University)H-Index: 18
#2Baruch Barzel (NU: Northeastern University)H-Index: 10
Last.Albert-La szlo Baraba siH-Index: 115
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In this Letter, in Fig. 3c and f the Saccharomyces cerevisiae and Escherichia coli networks were subject to both weight loss and node deletion, a combination of two types of perturbation, as opposed to weight loss only (as the labelling incorrectly indicated). The collapse in Fig. 3h was also obtained from this combined perturbation, and therefore the results displayed in Fig. 3h remain fully consistent with the theoretical framework presented in this Letter. Figure 1 to this Amendment shows the...
#1Toshiaki NakanoH-Index: 16
#2Toshiaki Nakano (Harvard University)
Last.Masayasu Aikawa (Harvard University)H-Index: 61
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Background: Chronic kidney disease (CKD) increases cardiovascular risk. Underlying mechanisms, however, remain obscure. The uremic toxin indoxyl sulfate is an independent cardiovascular risk factor...
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