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Items: 1 to 50 of 73

1.

Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.

Wang H, Liu X, Tao Y, Ye W, Jin Q, Cohen WW, Xing EP.

Pac Symp Biocomput. 2019;24:112-123.

3.

ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation.

Kampffmeyer M, Dong N, Liang X, Zhang Y, Xing EP.

IEEE Trans Image Process. 2018 Dec 14. doi: 10.1109/TIP.2018.2886997. [Epub ahead of print]

PMID:
30571633
4.

Precision Lasso: Accounting for Correlations and Linear Dependencies in High-Dimensional Genomic Data.

Wang H, Lengerich BJ, Aragam B, Xing EP.

Bioinformatics. 2018 Sep 1. doi: 10.1093/bioinformatics/bty750. [Epub ahead of print]

PMID:
30184048
5.

Ensembles of Lasso Screening Rules.

Lee S, Gornitz N, Xing EP, Heckerman D, Lippert C.

IEEE Trans Pattern Anal Mach Intell. 2018 Dec;40(12):2841-2852. doi: 10.1109/TPAMI.2017.2765321. Epub 2017 Nov 24.

PMID:
29989981
6.

Personalized regression enables sample-specific pan-cancer analysis.

Lengerich BJ, Aragam B, Xing EP.

Bioinformatics. 2018 Jul 1;34(13):i178-i186. doi: 10.1093/bioinformatics/bty250.

7.

Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies.

Wang H, Aragam B, Xing EP.

Methods. 2018 Aug 1;145:2-9. doi: 10.1016/j.ymeth.2018.04.021. Epub 2018 Apr 27.

PMID:
29705212
8.

Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model.

Wang H, Liu X, Xiao Y, Xu M, Xing EP.

Methods. 2018 Aug 1;145:33-40. doi: 10.1016/j.ymeth.2018.04.020. Epub 2018 Apr 27.

9.

Variable Selection in Heterogeneous Datasets: A Truncated-rank Sparse Linear Mixed Model with Applications to Genome-wide Association Studies.

Wang H, Aragam B, Xing EP.

Proceedings (IEEE Int Conf Bioinformatics Biomed). 2017 Nov;2017:431-438. doi: 10.1109/BIBM.2017.8217687. Epub 2017 Dec 18.

10.

Backward genotype-transcript-phenotype association mapping.

Lee S, Wang H, Xing EP.

Methods. 2017 Oct 1;129:18-23. doi: 10.1016/j.ymeth.2017.09.004. Epub 2017 Sep 14.

PMID:
28917724
11.

Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms.

Xu M, Chai X, Muthakana H, Liang X, Yang G, Zeev-Ben-Mordehai T, Xing EP.

Bioinformatics. 2017 Jul 15;33(14):i13-i22. doi: 10.1093/bioinformatics/btx230.

12.

Variance Reduction in Stochastic Gradient Langevin Dynamics.

Dubey A, Reddi SJ, Póczos B, Smola AJ, Xing EP, Williamson SA.

Adv Neural Inf Process Syst. 2016 Dec;29:1154-1162.

13.

Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with polynomial functions.

Zhou Y, Yuan K, Yu Y, Ni X, Xie P, Xing EP, Xu S.

Heredity (Edinb). 2017 May;118(5):503-510. doi: 10.1038/hdy.2017.5. Epub 2017 Feb 15.

14.

Semantic Pooling for Complex Event Analysis in Untrimmed Videos.

Xiaojun Chang, Yao-Liang Yu, Yi Yang, Xing EP.

IEEE Trans Pattern Anal Mach Intell. 2017 Aug;39(8):1617-1632. doi: 10.1109/TPAMI.2016.2608901. Epub 2016 Sep 13.

15.

Learning Scalable Deep Kernels with Recurrent Structure.

Al-Shedivat M, Wilson AG, Saatchi Y, Hu Z, Xing EP.

J Mach Learn Res. 2017 Jan;18(1):2850-2886.

16.

A network-driven approach for genome-wide association mapping.

Lee S, Kong S, Xing EP.

Bioinformatics. 2016 Jun 15;32(12):i164-i173. doi: 10.1093/bioinformatics/btw270.

17.

A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits.

Marchetti-Bowick M, Yin J, Howrylak JA, Xing EP.

Bioinformatics. 2016 Oct 1;32(19):2903-10. doi: 10.1093/bioinformatics/btw347. Epub 2016 Jun 13.

18.

An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations.

Lee S, Lozano A, Kambadur P, Xing EP.

J Comput Biol. 2016 May;23(5):372-89. doi: 10.1089/cmb.2015.0202.

19.

Gene expression profiling of asthma phenotypes demonstrates molecular signatures of atopy and asthma control.

Howrylak JA, Moll M, Weiss ST, Raby BA, Wu W, Xing EP.

J Allergy Clin Immunol. 2016 May;137(5):1390-1397.e6. doi: 10.1016/j.jaci.2015.09.058. Epub 2016 Jan 12.

20.

Graph Estimation From Multi-Attribute Data.

Kolar M, Liu H, Xing EP.

J Mach Learn Res. 2014 May;15(May):1713-1750.

21.

Diffusion of lexical change in social media.

Eisenstein J, O'Connor B, Smith NA, Xing EP.

PLoS One. 2014 Nov 19;9(11):e113114. doi: 10.1371/journal.pone.0113114. eCollection 2014.

22.

Network analysis of breast cancer progression and reversal using a tree-evolving network algorithm.

Parikh AP, Curtis RE, Kuhn I, Becker-Weimann S, Bissell M, Xing EP, Wu W.

PLoS Comput Biol. 2014 Jul 24;10(7):e1003713. doi: 10.1371/journal.pcbi.1003713. eCollection 2014 Jul.

23.

Kernel methods for large-scale genomic data analysis.

Wang X, Xing EP, Schaid DJ.

Brief Bioinform. 2015 Mar;16(2):183-92. doi: 10.1093/bib/bbu024. Epub 2014 Jul 22. Review.

24.

GWAS in a box: statistical and visual analytics of structured associations via GenAMap.

Xing EP, Curtis RE, Schoenherr G, Lee S, Yin J, Puniyani K, Wu W, Kinnaird P.

PLoS One. 2014 Jun 6;9(6):e97524. doi: 10.1371/journal.pone.0097524. eCollection 2014.

25.

Effects of sample selection bias on the accuracy of population structure and ancestry inference.

Shringarpure S, Xing EP.

G3 (Bethesda). 2014 Mar 17;4(5):901-11. doi: 10.1534/g3.113.007633.

26.
27.

NP-MuScL: unsupervised global prediction of interaction networks from multiple data sources.

Puniyani K, Xing EP.

J Comput Biol. 2013 Nov;20(11):892-904. doi: 10.1089/cmb.2013.0093. Epub 2013 Oct 17.

28.

GINI: from ISH images to gene interaction networks.

Puniyani K, Xing EP.

PLoS Comput Biol. 2013;9(10):e1003227. doi: 10.1371/journal.pcbi.1003227. Epub 2013 Oct 10.

29.

High-dimensional feature selection by feature-wise kernelized Lasso.

Yamada M, Jitkrittum W, Sigal L, Xing EP, Sugiyama M.

Neural Comput. 2014 Jan;26(1):185-207. doi: 10.1162/NECO_a_00537. Epub 2013 Oct 8.

PMID:
24102126
30.
31.

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server.

Ho Q, Cipar J, Cui H, Kim JK, Lee S, Gibbons PB, Gibson GA, Ganger GR, Xing EP.

Adv Neural Inf Process Syst. 2013;2013:1223-1231.

32.

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks.

Yin J, Ho Q, Xing EP.

Adv Neural Inf Process Syst. 2013;2013:422-430.

33.

Enabling dynamic network analysis through visualization in TVNViewer.

Curtis RE, Xiang J, Parikh A, Kinnaird P, Xing EP.

BMC Bioinformatics. 2012 Aug 16;13:204.

34.

Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs.

Lee S, Xing EP.

Bioinformatics. 2012 Jun 15;28(12):i137-46. doi: 10.1093/bioinformatics/bts227.

35.

Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approach.

Sohn KA, Ghahramani Z, Xing EP.

Genetics. 2012 Aug;191(4):1295-308. doi: 10.1534/genetics.112.140228. Epub 2012 May 29.

37.

Large-margin predictive latent subspace learning for multiview data analysis.

Chen N, Zhu J, Sun F, Xing EP.

IEEE Trans Pattern Anal Mach Intell. 2012 Dec;34(12):2365-78.

PMID:
22392706
38.

Group Sparse Additive Models.

Yin J, Chen X, Xing EP.

Proc Int Conf Mach Learn. 2012;2012:871-878.

39.

Estimating networks with jumps.

Kolar M, Xing EP.

Electron J Stat. 2012;6:2069-2106.

40.

Multiscale Community Blockmodel for Network Exploration.

Ho Q, Parikh AP, Xing EP.

J Am Stat Assoc. 2012;107(499). doi: 10.1080/01621459.2012.682530.

41.
42.

StructHDP: automatic inference of number of clusters and population structure from admixed genotype data.

Shringarpure S, Won D, Xing EP.

Bioinformatics. 2011 Jul 1;27(13):i324-32. doi: 10.1093/bioinformatics/btr242.

43.

TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages.

Parikh AP, Wu W, Curtis RE, Xing EP.

Bioinformatics. 2011 Jul 1;27(13):i196-204. doi: 10.1093/bioinformatics/btr239.

44.

TVNViewer: an interactive visualization tool for exploring networks that change over time or space.

Curtis RE, Yuen A, Song L, Goyal A, Xing EP.

Bioinformatics. 2011 Jul 1;27(13):1880-1. doi: 10.1093/bioinformatics/btr273. Epub 2011 May 5.

45.

Exploiting genome structure in association analysis.

Kim S, Xing EP.

J Comput Biol. 2014 Apr;21(4):345-60. doi: 10.1089/cmb.2009.0224. Epub 2011 May 6.

46.

SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images.

Puniyani K, Faloutsos C, Xing EP.

Bioinformatics. 2010 Jun 15;26(12):i47-56. doi: 10.1093/bioinformatics/btq172.

47.

Multi-population GWA mapping via multi-task regularized regression.

Puniyani K, Kim S, Xing EP.

Bioinformatics. 2010 Jun 15;26(12):i208-16. doi: 10.1093/bioinformatics/btq191.

48.

Statistical estimation of correlated genome associations to a quantitative trait network.

Kim S, Xing EP.

PLoS Genet. 2009 Aug;5(8):e1000587. doi: 10.1371/journal.pgen.1000587. Epub 2009 Aug 14.

49.

Recovering time-varying networks of dependencies in social and biological studies.

Ahmed A, Xing EP.

Proc Natl Acad Sci U S A. 2009 Jul 21;106(29):11878-83. doi: 10.1073/pnas.0901910106. Epub 2009 Jul 1.

50.

DISCOVER: a feature-based discriminative method for motif search in complex genomes.

Fu W, Ray P, Xing EP.

Bioinformatics. 2009 Jun 15;25(12):i321-9. doi: 10.1093/bioinformatics/btp230.

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