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Items: 1 to 50 of 621

1.

Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm.

Duan R, Boland MR, Liu Z, Liu Y, Chang HH, Xu H, Chu H, Schmid CH, Forrest CB, Holmes JH, Schuemie MJ, Berlin JA, Moore JH, Chen Y.

J Am Med Inform Assoc. 2019 Dec 9. pii: ocz199. doi: 10.1093/jamia/ocz199. [Epub ahead of print]

PMID:
31816040
2.

Translational Bioinformatics: Biobanks in the Precision Medicine Era.

Ritchie MD, Moore JH, Kim JH.

Pac Symp Biocomput. 2020;25:743-747.

3.

Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data.

Tong J, Duan R, Li R, Scheuemie MJ, Moore JH, Chen Y.

Pac Symp Biocomput. 2020;25:695-706.

4.

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis.

Yao X, Cong S, Yan J, Risacher SL, Saykin AJ, Moore JH, Shen L.

IEEE EMBS Int Conf Biomed Health Inform. 2019 May;2019. doi: 10.1109/BHI.2019.8834450. Epub 2019 Sep 12.

PMID:
31742256
5.

A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients.

Zhang L, Ding X, Ma Y, Muthu N, Ajmal I, Moore JH, Herman DS, Chen J.

J Am Med Inform Assoc. 2019 Nov 13. pii: ocz170. doi: 10.1093/jamia/ocz170. [Epub ahead of print]

PMID:
31722396
6.

Prevalence and Characterization of Yoga Mentions in the Electronic Health Record.

Penrod NM, Lynch S, Thomas S, Seshadri N, Moore JH.

J Am Board Fam Med. 2019 Nov-Dec;32(6):790-800. doi: 10.3122/jabfm.2019.06.190115.

7.

Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning (AutoML).

Orlenko A, Kofink D, Lyytikäinen LP, Nikus K, Mishra P, Kuukasjärvi P, Karhunen PJ, Kähönen M, Laurikka JO, Lehtimäki T, Asselberg FW, Moore JH.

Bioinformatics. 2019 Nov 8. pii: btz796. doi: 10.1093/bioinformatics/btz796. [Epub ahead of print]

PMID:
31702773
8.

An augmented estimation procedure for EHR-based association studies accounting for differential misclassification.

Tong J, Huang J, Chubak J, Wang X, Moore JH, Hubbard RA, Chen Y.

J Am Med Inform Assoc. 2019 Oct 16. pii: ocz180. doi: 10.1093/jamia/ocz180. [Epub ahead of print]

PMID:
31617899
9.

Embracing study heterogeneity for finding genetic interactions in large-scale research consortia.

Liu Y, Huang J, Urbanowicz RJ, Chen K, Manduchi E, Greene CS, Moore JH, Scheet P, Chen Y.

Genet Epidemiol. 2019 Oct 4. doi: 10.1002/gepi.22262. [Epub ahead of print]

PMID:
31583758
10.

A regression framework to uncover pleiotropy in large-scale electronic health record data.

Li R, Duan R, Kember RL, Rader DJ, Damrauer SM, Moore JH, Chen Y.

J Am Med Inform Assoc. 2019 Oct 1;26(10):1083-1090. doi: 10.1093/jamia/ocz084.

PMID:
31529123
11.

Global identifiability of latent class models with applications to diagnostic test accuracy studies: A Gröbner basis approach.

Duan R, Cao M, Ning Y, Zhu M, Zhang B, McDermott A, Chu H, Zhou X, Moore JH, Ibrahim JG, Scharfstein DO, Chen Y.

Biometrics. 2019 Aug 24. doi: 10.1111/biom.13133. [Epub ahead of print]

PMID:
31444807
12.

Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.

Lo Y, Lynch SF, Urbanowicz RJ, Olson RS, Ritter AZ, Whitehouse CR, O'Connor M, Keim SK, McDonald M, Moore JH, Bowles KH.

Stud Health Technol Inform. 2019 Aug 21;264:684-688. doi: 10.3233/SHTI190310.

PMID:
31438011
13.

Comparing drug safety of hepatitis C therapies using post-market data.

Huang J, Zhang X, Tong J, Du J, Duan R, Yang L, Moore JH, Tao C, Chen Y.

BMC Med Inform Decis Mak. 2019 Aug 8;19(Suppl 4):147. doi: 10.1186/s12911-019-0860-6.

14.

Conductance-Based Biophysical Distinction and Microfluidic Enrichment of Nanovesicles Derived from Pancreatic Tumor Cells of Varying Invasiveness.

Moore JH, Varhue WB, Su YH, Linton SS, Farmehini V, Fox TE, Matters GL, Kester M, Swami NS.

Anal Chem. 2019 Aug 20;91(16):10424-10431. doi: 10.1021/acs.analchem.8b05745. Epub 2019 Aug 1.

PMID:
31333013
15.

Integration of genetic and clinical information to improve imputation of data missing from electronic health records.

Li R, Chen Y, Moore JH.

J Am Med Inform Assoc. 2019 Oct 1;26(10):1056-1063. doi: 10.1093/jamia/ocz041.

PMID:
31329892
16.

Safety Events and Privilege Utilization Rates in Advanced Practice Physical Therapy Compared to Traditional Primary Care: An Observational Study.

Mabry LM, Notestine JP, Moore JH, Bleakley CM, Taylor JB.

Mil Med. 2019 Jul 19. pii: usz176. doi: 10.1093/milmed/usz176. [Epub ahead of print]

PMID:
31322706
17.

Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies.

Manduchi E, Orzechowski PR, Ritchie MD, Moore JH.

BioData Min. 2019 Jul 9;12:14. doi: 10.1186/s13040-019-0201-4. eCollection 2019.

18.

Scalable biclustering - the future of big data exploration?

Orzechowski P, Boryczko K, Moore JH.

Gigascience. 2019 Jul 1;8(7). pii: giz078. doi: 10.1093/gigascience/giz078.

19.

SNCA and mTOR Pathway Single Nucleotide Polymorphisms Interact to Modulate the Age at Onset of Parkinson's Disease.

Fernández-Santiago R, Martín-Flores N, Antonelli F, Cerquera C, Moreno V, Bandres-Ciga S, Manduchi E, Tolosa E, Singleton AB, Moore JH; International Parkinson's Disease Genomics Consortium, Martí MJ, Ezquerra M, Malagelada C.

Mov Disord. 2019 Sep;34(9):1333-1344. doi: 10.1002/mds.27770. Epub 2019 Jun 24.

PMID:
31234232
20.

Anticancer Therapy at the End of Life: Lessons From a Community Cancer Institute.

Sivendran S, Lynch S, McNaughton C, Wong R, Svetec S, Moore JH, Holliday R, Oyer RA, Newport K.

J Palliat Care. 2019 Jun 12:825859719851484. doi: 10.1177/0825859719851484. [Epub ahead of print]

PMID:
31187695
21.

Scaling tree-based automated machine learning to biomedical big data with a feature set selector.

Le TT, Fu W, Moore JH.

Bioinformatics. 2019 Jun 4. pii: btz470. doi: 10.1093/bioinformatics/btz470. [Epub ahead of print]

PMID:
31165141
22.

A comparison of two workflows for regulome and transcriptome-based prioritization of genetic variants associated with myocardial mass.

Manduchi E, Hemerich D, van Setten J, Tragante V, Harakalova M, Pei J, Williams SM, van der Harst P, Asselbergs FW, Moore JH.

Genet Epidemiol. 2019 Sep;43(6):717-726. doi: 10.1002/gepi.22215. Epub 2019 May 30.

PMID:
31145509
23.

Why mind-body medicine is poised to set a new standard for clinical research.

Penrod NM, Moore JH.

J Clin Epidemiol. 2019 Dec;116:167-170. doi: 10.1016/j.jclinepi.2019.05.001. Epub 2019 May 18. No abstract available.

PMID:
31112802
24.

Automated discovery of test statistics using genetic programming.

Moore JH, Olson RS, Chen Y, Sipper M.

Genet Program Evolvable Mach. 2019 Mar;20(1):127-137. Epub 2018 Oct 10.

PMID:
31105467
25.
27.

How to increase our belief in discovered statistical interactions via large-scale association studies?

Van Steen K, Moore JH.

Hum Genet. 2019 Apr;138(4):293-305. doi: 10.1007/s00439-019-01987-w. Epub 2019 Mar 6. Review.

28.

Testing the assumptions of parametric linear models: the need for biological data mining in disciplines such as human genetics.

Moore JH, Mackay TFC, Williams SM.

BioData Min. 2019 Feb 11;12:6. doi: 10.1186/s13040-019-0194-z. eCollection 2019. No abstract available.

29.

Preparing next-generation scientists for biomedical big data: artificial intelligence approaches.

Moore JH, Boland MR, Camara PG, Chervitz H, Gonzalez G, Himes BE, Kim D, Mowery DL, Ritchie MD, Shen L, Urbanowicz RJ, Holmes JH.

Per Med. 2019 May 1;16(3):247-257. doi: 10.2217/pme-2018-0145. Epub 2019 Feb 14.

PMID:
30760118
30.

Integrative Functional Annotation of 52 Genetic Loci Influencing Myocardial Mass Identifies Candidate Regulatory Variants and Target Genes.

Hemerich D, Pei J, Harakalova M, van Setten J, Boymans S, Boukens BJ, Efimov IR, Michels M, van der Velden J, Vink A, Cheng C, van der Harst P, Moore JH, Mokry M, Tragante V, Asselbergs FW.

Circ Genom Precis Med. 2019 Feb;12(2):e002328. doi: 10.1161/CIRCGEN.118.002328.

PMID:
30681347
31.

EBIC: an open source software for high-dimensional and big data analyses.

Orzechowski P, Moore JH.

Bioinformatics. 2019 Sep 1;35(17):3181-3183. doi: 10.1093/bioinformatics/btz027.

PMID:
30649199
32.

Analysis validation has been neglected in the Age of Reproducibility.

Lotterhos KE, Moore JH, Stapleton AE.

PLoS Biol. 2018 Dec 10;16(12):e3000070. doi: 10.1371/journal.pbio.3000070. eCollection 2018 Dec.

33.

Single-cell electro-phenotyping for rapid assessment of Clostridium difficile heterogeneity under vancomycin treatment at sub-MIC (minimum inhibitory concentration) levels.

Rohani A, Moore JH, Su YH, Stagnaro V, Warren C, Swami NS.

Sens Actuators B Chem. 2018 Dec 10;276:472-480. doi: 10.1016/j.snb.2018.08.137. Epub 2018 Aug 28.

34.

Druggability of Coronary Artery Disease Risk Loci.

Tragante V, Hemerich D, Alshabeeb M, Brænne I, Lempiäinen H, Patel RS, den Ruijter HM, Barnes MR, Moore JH, Schunkert H, Erdmann J, Asselbergs FW.

Circ Genom Precis Med. 2018 Aug;11(8):e001977. doi: 10.1161/CIRCGEN.117.001977.

35.

To know the objective is not (necessarily) to know the objective function.

Sipper M, Urbanowicz RJ, Moore JH.

BioData Min. 2018 Oct 4;11:21. doi: 10.1186/s13040-018-0182-8. eCollection 2018. No abstract available.

36.
37.

STatistical Inference Relief (STIR) feature selection.

Le TT, Urbanowicz RJ, Moore JH, McKinney BA.

Bioinformatics. 2019 Apr 15;35(8):1358-1365. doi: 10.1093/bioinformatics/bty788.

38.

SHORT-TERM EFFECTS OF TRIGGER POINT DRY NEEDLING ON PAIN AND DISABILITY IN SUBJECTS WITH PATELLOFEMORAL PAIN SYNDROME.

Sutlive TG, Golden A, King K, Morris WB, Morrison JE, Moore JH, Koppenhaver S.

Int J Sports Phys Ther. 2018 Jun;13(3):462-473.

39.

Relief-based feature selection: Introduction and review.

Urbanowicz RJ, Meeker M, La Cava W, Olson RS, Moore JH.

J Biomed Inform. 2018 Sep;85:189-203. doi: 10.1016/j.jbi.2018.07.014. Epub 2018 Jul 18. Review.

40.

Benchmarking relief-based feature selection methods for bioinformatics data mining.

Urbanowicz RJ, Olson RS, Schmitt P, Meeker M, Moore JH.

J Biomed Inform. 2018 Sep;85:168-188. doi: 10.1016/j.jbi.2018.07.015. Epub 2018 Jul 17.

41.

runibic: a Bioconductor package for parallel row-based biclustering of gene expression data.

Orzechowski P, Panszczyk A, Huang X, Moore JH.

Bioinformatics. 2018 Dec 15;34(24):4302-4304. doi: 10.1093/bioinformatics/bty512.

PMID:
29939213
42.

Leveraging epigenomics and contactomics data to investigate SNP pairs in GWAS.

Manduchi E, Williams SM, Chesi A, Johnson ME, Wells AD, Grant SFA, Moore JH.

Hum Genet. 2018 May;137(5):413-425. doi: 10.1007/s00439-018-1893-0. Epub 2018 May 24.

43.

The premature infant gut microbiome during the first 6 weeks of life differs based on gestational maturity at birth.

Chernikova DA, Madan JC, Housman ML, Zain-Ul-Abideen M, Lundgren SN, Morrison HG, Sogin ML, Williams SM, Moore JH, Karagas MR, Hoen AG.

Pediatr Res. 2018 Jul;84(1):71-79. doi: 10.1038/s41390-018-0022-z. Epub 2018 May 23.

44.

EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery.

Orzechowski P, Sipper M, Huang X, Moore JH.

Bioinformatics. 2018 Nov 1;34(21):3719-3726. doi: 10.1093/bioinformatics/bty401.

45.

A Probabilistic and Multi-Objective Analysis of Lexicase Selection and ε-Lexicase Selection.

La Cava W, Helmuth T, Spector L, Moore JH.

Evol Comput. 2019 Fall;27(3):377-402. doi: 10.1162/evco_a_00224. Epub 2018 May 10.

PMID:
29746157
46.

DNAp: A Pipeline for DNA-seq Data Analysis.

Causey JL, Ashby C, Walker K, Wang ZP, Yang M, Guan Y, Moore JH, Huang X.

Sci Rep. 2018 May 1;8(1):6793. doi: 10.1038/s41598-018-25022-6.

47.

Improving machine learning reproducibility in genetic association studies with proportional instance cross validation (PICV).

Piette ER, Moore JH.

BioData Min. 2018 Apr 19;11:6. doi: 10.1186/s13040-018-0167-7. eCollection 2018.

48.

Collective feature selection to identify crucial epistatic variants.

Verma SS, Lucas A, Zhang X, Veturi Y, Dudek S, Li B, Li R, Urbanowicz R, Moore JH, Kim D, Ritchie MD.

BioData Min. 2018 Apr 19;11:5. doi: 10.1186/s13040-018-0168-6. eCollection 2018.

49.

GPU Accelerated Browser for Neuroimaging Genomics.

Zigon B, Li H, Yao X, Fang S, Hasan MA, Yan J, Moore JH, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Neuroinformatics. 2018 Oct;16(3-4):393-402. doi: 10.1007/s12021-018-9376-y.

50.

Eleven quick tips for architecting biomedical informatics workflows with cloud computing.

Cole BS, Moore JH.

PLoS Comput Biol. 2018 Mar 29;14(3):e1005994. doi: 10.1371/journal.pcbi.1005994. eCollection 2018 Mar.

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