Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 178

1.

Science of science.

Fortunato S, Bergstrom CT, Börner K, Evans JA, Helbing D, Milojević S, Petersen AM, Radicchi F, Sinatra R, Uzzi B, Vespignani A, Waltman L, Wang D, Barabási AL.

Science. 2018 Mar 2;359(6379). pii: eaao0185. doi: 10.1126/science.aao0185. Review.

PMID:
29496846
2.

A diseasome cluster-based drug repurposing of soluble guanylate cyclase activators from smooth muscle relaxation to direct neuroprotection.

Langhauser F, Casas AI, Dao VT, Guney E, Menche J, Geuss E, Kleikers PWM, López MG, Barabási AL, Kleinschnitz C, Schmidt HHHW.

NPJ Syst Biol Appl. 2018 Feb 5;4:8. doi: 10.1038/s41540-017-0039-7. eCollection 2018.

3.

The fundamental advantages of temporal networks.

Li A, Cornelius SP, Liu YY, Wang L, Barabási AL.

Science. 2017 Nov 24;358(6366):1042-1046. doi: 10.1126/science.aai7488.

PMID:
29170233
4.

Recordings of Caenorhabditis elegans locomotor behaviour following targeted ablation of single motorneurons.

Chew YL, Walker DS, Towlson EK, Vértes PE, Yan G, Barabási AL, Schafer WR.

Sci Data. 2017 Oct 19;4:170156. doi: 10.1038/sdata.2017.156.

5.

Network control principles predict neuron function in the Caenorhabditis elegans connectome.

Yan G, Vértes PE, Towlson EK, Chew YL, Walker DS, Schafer WR, Barabási AL.

Nature. 2017 Oct 26;550(7677):519-523. doi: 10.1038/nature24056. Epub 2017 Oct 18.

6.

The elegant law that governs us all.

Barabási AL.

Science. 2017 Jul 14;357(6347):138. doi: 10.1126/science.aan4040. Epub 2017 Jul 13. No abstract available.

PMID:
28706031
7.

Integrating personalized gene expression profiles into predictive disease-associated gene pools.

Menche J, Guney E, Sharma A, Branigan PJ, Loza MJ, Baribaud F, Dobrin R, Barabási AL.

NPJ Syst Biol Appl. 2017 Mar 13;3:10. doi: 10.1038/s41540-017-0009-0. eCollection 2017.

8.

Academia under fire in Hungary.

Barabási AL.

Science. 2017 May 12;356(6338):563. doi: 10.1126/science.aan5395. No abstract available.

PMID:
28495702
9.

Epigenomic and transcriptomic approaches in the post-genomic era: path to novel targets for diagnosis and therapy of the ischaemic heart? Position Paper of the European Society of Cardiology Working Group on Cellular Biology of the Heart.

Perrino C, Barabási AL, Condorelli G, Davidson SM, De Windt L, Dimmeler S, Engel FB, Hausenloy DJ, Hill JA, Van Laake LW, Lecour S, Leor J, Madonna R, Mayr M, Prunier F, Sluijter JPG, Schulz R, Thum T, Ytrehus K, Ferdinandy P.

Cardiovasc Res. 2017 Jun 1;113(7):725-736. doi: 10.1093/cvr/cvx070. Review.

10.

Identifying and modeling the structural discontinuities of human interactions.

Grauwin S, Szell M, Sobolevsky S, Hövel P, Simini F, Vanhoof M, Smoreda Z, Barabási AL, Ratti C.

Sci Rep. 2017 Apr 26;7:46677. doi: 10.1038/srep46677.

11.

Corrigendum: Trade-offs between driving nodes and time-to-control in complex networks.

Pequito S, Preciado VM, Barabási AL, Pappas GJ.

Sci Rep. 2017 Mar 9;7:43194. doi: 10.1038/srep43194. No abstract available.

12.

From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration.

Gomez-Cabrero D, Menche J, Vargas C, Cano I, Maier D, Barabási AL, Tegnér J, Roca J; Synergy-COPD Consortia.

BMC Bioinformatics. 2016 Nov 22;17(Suppl 15):441. doi: 10.1186/s12859-016-1291-3.

13.

Fundamental limitations of network reconstruction from temporal data.

Angulo MT, Moreno JA, Lippner G, Barabási AL, Liu YY.

J R Soc Interface. 2017 Feb;14(127). pii: 20160966. doi: 10.1098/rsif.2016.0966.

14.

Trade-offs between driving nodes and time-to-control in complex networks.

Pequito S, Preciado VM, Barabási AL, Pappas GJ.

Sci Rep. 2017 Jan 5;7:39978. doi: 10.1038/srep39978.

15.

Quantifying the evolution of individual scientific impact.

Sinatra R, Wang D, Deville P, Song C, Barabási AL.

Science. 2016 Nov 4;354(6312). pii: aaf5239.

PMID:
27811240
16.

PARP9 and PARP14 cross-regulate macrophage activation via STAT1 ADP-ribosylation.

Iwata H, Goettsch C, Sharma A, Ricchiuto P, Goh WW, Halu A, Yamada I, Yoshida H, Hara T, Wei M, Inoue N, Fukuda D, Mojcher A, Mattson PC, Barabási AL, Boothby M, Aikawa E, Singh SA, Aikawa M.

Nat Commun. 2016 Oct 31;7:12849. doi: 10.1038/ncomms12849.

17.

Tissue Specificity of Human Disease Module.

Kitsak M, Sharma A, Menche J, Guney E, Ghiassian SD, Loscalzo J, Barabási AL.

Sci Rep. 2016 Oct 17;6:35241. doi: 10.1038/srep35241.

18.

Controllability of multiplex, multi-time-scale networks.

Pósfai M, Gao J, Cornelius SP, Barabási AL, D'Souza RM.

Phys Rev E. 2016 Sep;94(3-1):032316. Epub 2016 Sep 26.

PMID:
27739809
19.

Endophenotype Network Models: Common Core of Complex Diseases.

Ghiassian SD, Menche J, Chasman DI, Giulianini F, Wang R, Ricchiuto P, Aikawa M, Iwata H, Müller C, Zeller T, Sharma A, Wild P, Lackner K, Singh S, Ridker PM, Blankenberg S, Barabási AL, Loscalzo J.

Sci Rep. 2016 Jun 9;6:27414. doi: 10.1038/srep27414.

20.

Scaling identity connects human mobility and social interactions.

Deville P, Song C, Eagle N, Blondel VD, Barabási AL, Wang D.

Proc Natl Acad Sci U S A. 2016 Jun 28;113(26):7047-52. doi: 10.1073/pnas.1525443113. Epub 2016 Jun 6.

21.

Control of fluxes in metabolic networks.

Basler G, Nikoloski Z, Larhlimi A, Barabási AL, Liu YY.

Genome Res. 2016 Jul;26(7):956-68. doi: 10.1101/gr.202648.115. Epub 2016 May 19.

22.

Universal resilience patterns in complex networks.

Gao J, Barzel B, Barabási AL.

Nature. 2016 Aug 11;536(7615):238. doi: 10.1038/nature18019. Epub 2016 May 4. No abstract available.

PMID:
27144362
23.

An inter-species protein-protein interaction network across vast evolutionary distance.

Zhong Q, Pevzner SJ, Hao T, Wang Y, Mosca R, Menche J, Taipale M, Taşan M, Fan C, Yang X, Haley P, Murray RR, Mer F, Gebreab F, Tam S, MacWilliams A, Dricot A, Reichert P, Santhanam B, Ghamsari L, Calderwood MA, Rolland T, Charloteaux B, Lindquist S, Barabási AL, Hill DE, Aloy P, Cusick ME, Xia Y, Roth FP, Vidal M.

Mol Syst Biol. 2016 Apr 22;12(4):865. doi: 10.15252/msb.20156484.

24.

Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets.

Vinayagam A, Gibson TE, Lee HJ, Yilmazel B, Roesel C, Hu Y, Kwon Y, Sharma A, Liu YY, Perrimon N, Barabási AL.

Proc Natl Acad Sci U S A. 2016 May 3;113(18):4976-81. doi: 10.1073/pnas.1603992113. Epub 2016 Apr 18.

25.

Universal resilience patterns in complex networks.

Gao J, Barzel B, Barabási AL.

Nature. 2016 Feb 18;530(7590):307-12. doi: 10.1038/nature16948. Erratum in: Nature. 2016 Aug 11;536(7615):238.

PMID:
26887493
26.

Network-based in silico drug efficacy screening.

Guney E, Menche J, Vidal M, Barábasi AL.

Nat Commun. 2016 Feb 1;7:10331. doi: 10.1038/ncomms10331.

27.

Canonical genetic signatures of the adult human brain.

Hawrylycz M, Miller JA, Menon V, Feng D, Dolbeare T, Guillozet-Bongaarts AL, Jegga AG, Aronow BJ, Lee CK, Bernard A, Glasser MF, Dierker DL, Menche J, Szafer A, Collman F, Grange P, Berman KA, Mihalas S, Yao Z, Stewart L, Barabási AL, Schulkin J, Phillips J, Ng L, Dang C, Haynor DR, Jones A, Van Essen DC, Koch C, Lein E.

Nat Neurosci. 2015 Dec;18(12):1832-44. doi: 10.1038/nn.4171. Epub 2015 Nov 16.

28.

Returners and explorers dichotomy in human mobility.

Pappalardo L, Simini F, Rinzivillo S, Pedreschi D, Giannotti F, Barabási AL.

Nat Commun. 2015 Sep 8;6:8166. doi: 10.1038/ncomms9166.

29.

Network science: Destruction perfected.

Kovács IA, Barabási AL.

Nature. 2015 Aug 6;524(7563):38-9. doi: 10.1038/524038a. No abstract available.

PMID:
26245576
30.

Constructing minimal models for complex system dynamics.

Barzel B, Liu YY, Barabási AL.

Nat Commun. 2015 May 20;6:7186. doi: 10.1038/ncomms8186.

PMID:
25990707
31.

Widespread macromolecular interaction perturbations in human genetic disorders.

Sahni N, Yi S, Taipale M, Fuxman Bass JI, Coulombe-Huntington J, Yang F, Peng J, Weile J, Karras GI, Wang Y, Kovács IA, Kamburov A, Krykbaeva I, Lam MH, Tucker G, Khurana V, Sharma A, Liu YY, Yachie N, Zhong Q, Shen Y, Palagi A, San-Miguel A, Fan C, Balcha D, Dricot A, Jordan DM, Walsh JM, Shah AA, Yang X, Stoyanova AK, Leighton A, Calderwood MA, Jacob Y, Cusick ME, Salehi-Ashtiani K, Whitesell LJ, Sunyaev S, Berger B, Barabási AL, Charloteaux B, Hill DE, Hao T, Roth FP, Xia Y, Walhout AJM, Lindquist S, Vidal M.

Cell. 2015 Apr 23;161(3):647-660. doi: 10.1016/j.cell.2015.04.013.

32.

A DIseAse MOdule Detection (DIAMOnD) algorithm derived from a systematic analysis of connectivity patterns of disease proteins in the human interactome.

Ghiassian SD, Menche J, Barabási AL.

PLoS Comput Biol. 2015 Apr 8;11(4):e1004120. doi: 10.1371/journal.pcbi.1004120. eCollection 2015 Apr.

33.

Response to letter of correspondence - Bastiaens et al.

Barzel B, Barabási AL.

Nat Biotechnol. 2015 Apr;33(4):339-42. doi: 10.1038/nbt.3184. No abstract available.

PMID:
25850053
34.

Disease networks. Uncovering disease-disease relationships through the incomplete interactome.

Menche J, Sharma A, Kitsak M, Ghiassian SD, Vidal M, Loscalzo J, Barabási AL.

Science. 2015 Feb 20;347(6224):1257601. doi: 10.1126/science.1257601.

35.

A disease module in the interactome explains disease heterogeneity, drug response and captures novel pathways and genes in asthma.

Sharma A, Menche J, Huang CC, Ort T, Zhou X, Kitsak M, Sahni N, Thibault D, Voung L, Guo F, Ghiassian SD, Gulbahce N, Baribaud F, Tocker J, Dobrin R, Barnathan E, Liu H, Panettieri RA Jr, Tantisira KG, Qiu W, Raby BA, Silverman EK, Vidal M, Weiss ST, Barabási AL.

Hum Mol Genet. 2015 Jun 1;24(11):3005-20. doi: 10.1093/hmg/ddv001. Epub 2015 Jan 12.

36.

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

Gustafsson M, Nestor CE, Zhang H, Barabási AL, Baranzini S, Brunak S, Chung KF, Federoff HJ, Gavin AC, Meehan RR, Picotti P, Pujana MÀ, Rajewsky N, Smith KG, Sterk PJ, Villoslada P, Benson M.

Genome Med. 2014 Oct 17;6(10):82. doi: 10.1186/s13073-014-0082-6. eCollection 2014.

37.

Systems Medicine: from molecular features and models to the clinic in COPD.

Gomez-Cabrero D, Menche J, Cano I, Abugessaisa I, Huertas-Migueláñez M, Tenyi A, Marin de Mas I, Kiani NA, Marabita F, Falciani F, Burrowes K, Maier D, Wagner P, Selivanov V, Cascante M, Roca J, Barabási AL, Tegnér J.

J Transl Med. 2014 Nov 28;12 Suppl 2:S4. doi: 10.1186/1479-5876-12-S2-S4. Epub 2014 Nov 28.

38.

A proteome-scale map of the human interactome network.

Rolland T, Taşan M, Charloteaux B, Pevzner SJ, Zhong Q, Sahni N, Yi S, Lemmens I, Fontanillo C, Mosca R, Kamburov A, Ghiassian SD, Yang X, Ghamsari L, Balcha D, Begg BE, Braun P, Brehme M, Broly MP, Carvunis AR, Convery-Zupan D, Corominas R, Coulombe-Huntington J, Dann E, Dreze M, Dricot A, Fan C, Franzosa E, Gebreab F, Gutierrez BJ, Hardy MF, Jin M, Kang S, Kiros R, Lin GN, Luck K, MacWilliams A, Menche J, Murray RR, Palagi A, Poulin MM, Rambout X, Rasla J, Reichert P, Romero V, Ruyssinck E, Sahalie JM, Scholz A, Shah AA, Sharma A, Shen Y, Spirohn K, Tam S, Tejeda AO, Trigg SA, Twizere JC, Vega K, Walsh J, Cusick ME, Xia Y, Barabási AL, Iakoucheva LM, Aloy P, De Las Rivas J, Tavernier J, Calderwood MA, Hill DE, Hao T, Roth FP, Vidal M.

Cell. 2014 Nov 20;159(5):1212-1226. doi: 10.1016/j.cell.2014.10.050.

39.

Target control of complex networks.

Gao J, Liu YY, D'Souza RM, Barabási AL.

Nat Commun. 2014 Nov 12;5:5415. doi: 10.1038/ncomms6415.

40.

Collective credit allocation in science.

Shen HW, Barabási AL.

Proc Natl Acad Sci U S A. 2014 Aug 26;111(34):12325-30. doi: 10.1073/pnas.1401992111. Epub 2014 Aug 11.

41.

Quantitative social science. A network framework of cultural history.

Schich M, Song C, Ahn YY, Mirsky A, Martino M, Barabási AL, Helbing D.

Science. 2014 Aug 1;345(6196):558-62. doi: 10.1126/science.1240064.

42.

A diVIsive Shuffling Approach (VIStA) for gene expression analysis to identify subtypes in Chronic Obstructive Pulmonary Disease.

Menche J, Sharma A, Cho MH, Mayer RJ, Rennard SI, Celli B, Miller BE, Locantore N, Tal-Singer R, Ghosh S, Larminie C, Bradley G, Riley JH, Agusti A, Silverman EK, Barabási AL.

BMC Syst Biol. 2014;8 Suppl 2:S8. doi: 10.1186/1752-0509-8-S2-S8. Epub 2014 Mar 13.

43.

A genetic epidemiology approach to cyber-security.

Gil S, Kott A, Barabási AL.

Sci Rep. 2014 Jul 16;4:5659. doi: 10.1038/srep05659.

44.

Science communication. Response to Comment on "Quantifying long-term scientific impact".

Wang D, Song C, Shen HW, Barabási AL.

Science. 2014 Jul 11;345(6193):149. doi: 10.1126/science.1248961. Epub 2014 Jul 10.

45.

Human symptoms-disease network.

Zhou X, Menche J, Barabási AL, Sharma A.

Nat Commun. 2014 Jun 26;5:4212. doi: 10.1038/ncomms5212.

PMID:
24967666
46.

Career on the move: geography, stratification, and scientific impact.

Deville P, Wang D, Sinatra R, Song C, Blondel VD, Barabási AL.

Sci Rep. 2014 Apr 24;4:4770. doi: 10.1038/srep04770.

47.

Quantifying information flow during emergencies.

Gao L, Song C, Gao Z, Barabási AL, Bagrow JP, Wang D.

Sci Rep. 2014 Feb 6;4:3997. doi: 10.1038/srep03997.

48.

Universality in network dynamics.

Barzel B, Barabási AL.

Nat Phys. 2013;9. doi: 10.1038/nphys2741.

49.

Uncovering the role of elementary processes in network evolution.

Ghoshal G, Chi L, Barabási AL.

Sci Rep. 2013 Oct 10;3:2920. doi: 10.1038/srep02920.

50.

Quantifying long-term scientific impact.

Wang D, Song C, Barabási AL.

Science. 2013 Oct 4;342(6154):127-32. doi: 10.1126/science.1237825.

Supplemental Content

Loading ...
Support Center