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Items: 1 to 20 of 64

1.

The Quantified Brain: A Framework for Mobile Device-Based Assessment of Behavior and Neurological Function.

Stark DE, Kumar RB, Longhurst CA, Wall DP.

Appl Clin Inform. 2016 May 4;7(2):290-8. doi: 10.4338/ACI-2015-12-LE-0176. eCollection 2016. No abstract available.

2.

Comorbid Analysis of Genes Associated with Autism Spectrum Disorders Reveals Differential Evolutionary Constraints.

David MM, Enard D, Ozturk A, Daniels J, Jung JY, Diaz-Beltran L, Wall DP.

PLoS One. 2016 Jul 14;11(7):e0157937. doi: 10.1371/journal.pone.0157937. eCollection 2016.

3.

Bioaccumulation of metals in ryegrass (Lolium perenne L.) following the application of lime stabilised, thermally dried and anaerobically digested sewage sludge.

Healy MG, Ryan PC, Fenton O, Peyton DP, Wall DP, Morrison L.

Ecotoxicol Environ Saf. 2016 Aug;130:303-9. doi: 10.1016/j.ecoenv.2016.04.026. Epub 2016 May 9.

PMID:
27174047
4.

A research roadmap for next-generation sequencing informatics.

Altman RB, Prabhu S, Sidow A, Zook JM, Goldfeder R, Litwack D, Ashley E, Asimenos G, Bustamante CD, Donigan K, Giacomini KM, Johansen E, Khuri N, Lee E, Liang XS, Salit M, Serang O, Tezak Z, Wall DP, Mansfield E, Kass-Hout T.

Sci Transl Med. 2016 Apr 20;8(335):335ps10. doi: 10.1126/scitranslmed.aaf7314. Review.

PMID:
27099173
5.

Automated integration of continuous glucose monitor data in the electronic health record using consumer technology.

Kumar RB, Goren ND, Stark DE, Wall DP, Longhurst CA.

J Am Med Inform Assoc. 2016 May;23(3):532-7. doi: 10.1093/jamia/ocv206. Epub 2016 Mar 27.

6.

Identification of Human Neuronal Protein Complexes Reveals Biochemical Activities and Convergent Mechanisms of Action in Autism Spectrum Disorders.

Li J, Ma Z, Shi M, Malty RH, Aoki H, Minic Z, Phanse S, Jin K, Wall DP, Zhang Z, Urban AE, Hallmayer J, Babu M, Snyder M.

Cell Syst. 2015 Nov 25;1(5):361-374.

PMID:
26949739
7.

Clinical Evaluation of a Novel and Mobile Autism Risk Assessment.

Duda M, Daniels J, Wall DP.

J Autism Dev Disord. 2016 Jun;46(6):1953-61. doi: 10.1007/s10803-016-2718-4.

8.

Use of machine learning for behavioral distinction of autism and ADHD.

Duda M, Ma R, Haber N, Wall DP.

Transl Psychiatry. 2016 Feb 9;6:e732. doi: 10.1038/tp.2015.221.

9.

A common molecular signature in ASD gene expression: following Root 66 to autism.

Diaz-Beltran L, Esteban FJ, Wall DP.

Transl Psychiatry. 2016 Jan 5;6:e705. doi: 10.1038/tp.2015.112.

PMID:
26731442
10.

Scalable and cost-effective NGS genotyping in the cloud.

Souilmi Y, Lancaster AK, Jung JY, Rizzo E, Hawkins JB, Powles R, Amzazi S, Ghazal H, Tonellato PJ, Wall DP.

BMC Med Genomics. 2015 Oct 15;8:64. doi: 10.1186/s12920-015-0134-9.

11.

Identifying contrasting influences and surface water signals for specific groundwater phosphorus vulnerability.

Mellander PE, Jordan P, Shore M, McDonald NT, Wall DP, Shortle G, Daly K.

Sci Total Environ. 2016 Jan 15;541:292-302. doi: 10.1016/j.scitotenv.2015.09.082. Epub 2015 Sep 25.

PMID:
26410704
12.

A transgenic resource for conditional competitive inhibition of conserved Drosophila microRNAs.

Fulga TA, McNeill EM, Binari R, Yelick J, Blanche A, Booker M, Steinkraus BR, Schnall-Levin M, Zhao Y, DeLuca T, Bejarano F, Han Z, Lai EC, Wall DP, Perrimon N, Van Vactor D.

Nat Commun. 2015 Jun 17;6:7279. doi: 10.1038/ncomms8279.

13.

Testing the accuracy of an observation-based classifier for rapid detection of autism risk.

Duda M, Kosmicki JA, Wall DP.

Transl Psychiatry. 2015 Apr 28;5:e556. doi: 10.1038/tp.2015.51. No abstract available.

14.

Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning.

Kosmicki JA, Sochat V, Duda M, Wall DP.

Transl Psychiatry. 2015 Feb 24;5:e514. doi: 10.1038/tp.2015.7.

15.

Translational Meta-analytical Methods to Localize the Regulatory Patterns of Neurological Disorders in the Human Brain.

Sochat V, David M, Wall DP.

AMIA Annu Symp Proc. 2015 Nov 5;2015:2073-82. eCollection 2015.

16.

Testing the accuracy of an observation-based classifier for rapid detection of autism risk.

Duda M, Kosmicki JA, Wall DP.

Transl Psychiatry. 2014 Aug 12;4:e424. doi: 10.1038/tp.2014.65. Erratum in: Transl Psychiatry. 2014;4:e440.

17.

A framework for the interpretation of de novo mutation in human disease.

Samocha KE, Robinson EB, Sanders SJ, Stevens C, Sabo A, McGrath LM, Kosmicki JA, Rehnström K, Mallick S, Kirby A, Wall DP, MacArthur DG, Gabriel SB, DePristo M, Purcell SM, Palotie A, Boerwinkle E, Buxbaum JD, Cook EH Jr, Gibbs RA, Schellenberg GD, Sutcliffe JS, Devlin B, Roeder K, Neale BM, Daly MJ.

Nat Genet. 2014 Sep;46(9):944-50. doi: 10.1038/ng.3050. Epub 2014 Aug 3.

18.

COSMOS: Python library for massively parallel workflows.

Gafni E, Luquette LJ, Lancaster AK, Hawkins JB, Jung JY, Souilmi Y, Wall DP, Tonellato PJ.

Bioinformatics. 2014 Oct 15;30(20):2956-8. doi: 10.1093/bioinformatics/btu385. Epub 2014 Jun 30.

19.

Evaluating the critical source area concept of phosphorus loss from soils to water-bodies in agricultural catchments.

Shore M, Jordan P, Mellander PE, Kelly-Quinn M, Wall DP, Murphy PN, Melland AR.

Sci Total Environ. 2014 Aug 15;490:405-15. doi: 10.1016/j.scitotenv.2014.04.122. Epub 2014 May 24.

PMID:
24863139
20.

The potential of accelerating early detection of autism through content analysis of YouTube videos.

Fusaro VA, Daniels J, Duda M, DeLuca TF, D'Angelo O, Tamburello J, Maniscalco J, Wall DP.

PLoS One. 2014 Apr 16;9(4):e93533. doi: 10.1371/journal.pone.0093533. eCollection 2014.

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