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Albert-László Barabási

Researcher at Northeastern University

Publications -  463
Citations -  217721

Albert-László Barabási is an academic researcher from Northeastern University. The author has contributed to research in topics: Complex network & Network science. The author has an hindex of 152, co-authored 438 publications receiving 200119 citations. Previous affiliations of Albert-László Barabási include Budapest University of Technology and Economics & Lawrence Livermore National Laboratory.

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Journal ArticleDOI

Modules, networks and systems medicine for understanding disease and aiding diagnosis

Mika Gustafsson, +16 more
- 17 Oct 2014 - 
TL;DR: This review will explain and provide examples of how network-based analyses of omics data, in combination with functional and clinical studies, are aiding the understanding of disease, as well as helping to prioritize diagnostic markers or therapeutic candidate genes.
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Ion-Induced Surface Diffusion in Ion Sputtering

Maxim A. Makeev, +1 more
- 16 Jan 1997 - 
TL;DR: In this paper, the effect of ion-induced diffusion on ripple formation and roughening on ion-sputtered surfaces is discussed and summarized in a morphological phase diagram.
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Dynamics of Ripple Formation in Sputter Erosion: Nonlinear Phenomena

S. Park, +4 more
- 25 Oct 1999 - 
TL;DR: In this article, the impact of nonlinear terms on the morphology of sputter eroded surfaces was analyzed and the morphological transitions induced by the nonlinear effects can be detected by monitoring the surface width and the erosion velocity.
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Effect of correlations on network controllability

Márton Pósfai, +6 more
- 15 Jan 2013 - 
TL;DR: The impact of various network characteristics on the minimal number of driver nodes required to control a network is studied and it is found that clustering and modularity have no discernible impact, but the symmetries of the underlying matching problem can produce linear, quadratic or no dependence on degree correlation coefficients.
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A disease module in the interactome explains disease heterogeneity, drug response and captures novel pathways and genes in asthma

Amitabh Sharma, +25 more
- 01 Jun 2015 - 
TL;DR: It is found that the asthma disease module is enriched with modest GWAS P-values against the background of random variation, and with differentially expressed genes from normal and asthmatic fibroblast cells treated with an asthma-specific drug.