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Items: 16

1.

Multiscale dynamical embeddings of complex networks.

Schaub MT, Delvenne JC, Lambiotte R, Barahona M.

Phys Rev E. 2019 Jun;99(6-1):062308. doi: 10.1103/PhysRevE.99.062308.

2.

Simplicial closure and higher-order link prediction.

Benson AR, Abebe R, Schaub MT, Jadbabaie A, Kleinberg J.

Proc Natl Acad Sci U S A. 2018 Nov 27;115(48):E11221-E11230. doi: 10.1073/pnas.1800683115. Epub 2018 Nov 9.

3.

Feedforward architectures driven by inhibitory interactions.

Billeh YN, Schaub MT.

J Comput Neurosci. 2018 Feb;44(1):63-74. doi: 10.1007/s10827-017-0669-1. Epub 2017 Nov 14.

PMID:
29139049
4.

SC3: consensus clustering of single-cell RNA-seq data.

Kiselev VY, Kirschner K, Schaub MT, Andrews T, Yiu A, Chandra T, Natarajan KN, Reik W, Barahona M, Green AR, Hemberg M.

Nat Methods. 2017 May;14(5):483-486. doi: 10.1038/nmeth.4236. Epub 2017 Mar 27.

5.

The many facets of community detection in complex networks.

Schaub MT, Delvenne JC, Rosvall M, Lambiotte R.

Appl Netw Sci. 2017;2(1):4. doi: 10.1007/s41109-017-0023-6. Epub 2017 Feb 15.

6.

Graph partitions and cluster synchronization in networks of oscillators.

Schaub MT, O'Clery N, Billeh YN, Delvenne JC, Lambiotte R, Barahona M.

Chaos. 2016 Sep;26(9):094821.

7.

Prediction of allosteric sites and mediating interactions through bond-to-bond propensities.

Amor BR, Schaub MT, Yaliraki SN, Barahona M.

Nat Commun. 2016 Aug 26;7:12477. doi: 10.1038/ncomms12477.

8.

Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.

Bacik KA, Schaub MT, Beguerisse-Díaz M, Billeh YN, Barahona M.

PLoS Comput Biol. 2016 Aug 5;12(8):e1005055. doi: 10.1371/journal.pcbi.1005055. eCollection 2016 Aug.

9.

Using higher-order Markov models to reveal flow-based communities in networks.

Salnikov V, Schaub MT, Lambiotte R.

Sci Rep. 2016 Mar 31;6:23194. doi: 10.1038/srep23194.

10.

Emergence of Slow-Switching Assemblies in Structured Neuronal Networks.

Schaub MT, Billeh YN, Anastassiou CA, Koch C, Barahona M.

PLoS Comput Biol. 2015 Jul 15;11(7):e1004196. doi: 10.1371/journal.pcbi.1004196. eCollection 2015 Jul. Erratum in: PLoS Comput Biol. 2017 Feb 10;13(2):e1005288.

11.

Revealing cell assemblies at multiple levels of granularity.

Billeh YN, Schaub MT, Anastassiou CA, Barahona M, Koch C.

J Neurosci Methods. 2014 Oct 30;236:92-106. doi: 10.1016/j.jneumeth.2014.08.011. Epub 2014 Aug 26.

12.

Encoding dynamics for multiscale community detection: Markov time sweeping for the map equation.

Schaub MT, Lambiotte R, Barahona M.

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Aug;86(2 Pt 2):026112. Epub 2012 Aug 21.

13.

Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit.

Schaub MT, Delvenne JC, Yaliraki SN, Barahona M.

PLoS One. 2012;7(2):e32210. doi: 10.1371/journal.pone.0032210. Epub 2012 Feb 27.

14.

The Ising decoder: reading out the activity of large neural ensembles.

Schaub MT, Schultz SR.

J Comput Neurosci. 2012 Feb;32(1):101-18. doi: 10.1007/s10827-011-0342-z. Epub 2011 Jun 11.

15.

Developmental disabilities preschool language program.

Schaub MT, Ritenour JV.

Rehabil Lit. 1977 Nov-Dec;38(11-12):346-51. No abstract available.

PMID:
146242
16.

A model of parent involvement in programming for communicatively handicapped children.

Jelinek JA, Schaub MT.

Rehabil Lit. 1973 Aug;34(8):231-4. No abstract available.

PMID:
4727170

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