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Dynamical modeling of uncertain interaction-based genomic networks.

BMC bioinformatics

Mohsenizadeh DN, Hua J, Bittner M, Dougherty ER.
PMID: 26423606
BMC Bioinformatics. 2015;16:S3. doi: 10.1186/1471-2105-16-S13-S3. Epub 2015 Sep 25.

BACKGROUND: Most dynamical models for genomic networks are built upon two current methodologies, one process-based and the other based on Boolean-type networks. Both are problematic when it comes to experimental design purposes in the laboratory. The first approach requires...

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Mohsenizadeh DN, Hua J, Bittner M, et al. Dynamical modeling of uncertain interaction-based genomic networks. BMC Bioinformatics. 2015;16:S3doi: 10.1186/1471-2105-16-S13-S3.
Mohsenizadeh, D. N., Hua, J., Bittner, M., & Dougherty, E. R. (2015). Dynamical modeling of uncertain interaction-based genomic networks. BMC bioinformatics, 16S3. https://doi.org/10.1186/1471-2105-16-S13-S3
Mohsenizadeh, Daniel N, et al. "Dynamical modeling of uncertain interaction-based genomic networks." BMC bioinformatics vol. 16 (2015): S3. doi: https://doi.org/10.1186/1471-2105-16-S13-S3
Mohsenizadeh DN, Hua J, Bittner M, Dougherty ER. Dynamical modeling of uncertain interaction-based genomic networks. BMC Bioinformatics. 2015;16:S3. doi: 10.1186/1471-2105-16-S13-S3. Epub 2015 Sep 25. PMID: 26423606; PMCID: PMC4596957.
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The authors reply.

Critical care medicine

Sterling SA, Puskarich MA, Jones AE.
PMID: 27635499
Crit Care Med. 2016 Oct;44(10):e1004-5. doi: 10.1097/CCM.0000000000001978.

No abstract available.

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Sterling SA, Puskarich MA, Jones AE. The authors reply. Crit Care Med. 2016;44(10):e1004-5doi: 10.1097/CCM.0000000000001978.
Sterling, S. A., Puskarich, M. A., & Jones, A. E. (2016). The authors reply. Critical care medicine, 44(10), e1004-5. https://doi.org/10.1097/CCM.0000000000001978
Sterling, Sarah A, et al. "The authors reply." Critical care medicine vol. 44,10 (2016): e1004-5. doi: https://doi.org/10.1097/CCM.0000000000001978
Sterling SA, Puskarich MA, Jones AE. The authors reply. Crit Care Med. 2016 Oct;44(10):e1004-5. doi: 10.1097/CCM.0000000000001978. PMID: 27635499; PMCID: PMC5411115.
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Predicting toddler temperamental approach-withdrawal: Contributions of early approach tendencies, parenting behavior, and contextual novelty.

Journal of research in personality

Augustine ME, Moding KJ, Stifter CA.
PMID: 28416889
J Res Pers. 2017 Apr;67:97-105. doi: 10.1016/j.jrp.2016.05.008. Epub 2016 May 20.

Research suggests that temperamental approach-withdrawal is subject to parenting influences, but few studies have explored how specific parenting behaviors and contextual novelty contribute to the observed pattern of effects. The present study examined associations between infant temperamental approach, mother...

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Augustine ME, Moding KJ, Stifter CA. Predicting toddler temperamental approach-withdrawal: Contributions of early approach tendencies, parenting behavior, and contextual novelty. J Res Pers. 2016;67:97-105doi: 10.1016/j.jrp.2016.05.008.
Augustine, M. E., Moding, K. J., & Stifter, C. A. (2017). Predicting toddler temperamental approach-withdrawal: Contributions of early approach tendencies, parenting behavior, and contextual novelty. Journal of research in personality, 6797-105. https://doi.org/10.1016/j.jrp.2016.05.008
Augustine, Mairin E, et al. "Predicting toddler temperamental approach-withdrawal: Contributions of early approach tendencies, parenting behavior, and contextual novelty." Journal of research in personality vol. 67 (2017): 97-105. doi: https://doi.org/10.1016/j.jrp.2016.05.008
Augustine ME, Moding KJ, Stifter CA. Predicting toddler temperamental approach-withdrawal: Contributions of early approach tendencies, parenting behavior, and contextual novelty. J Res Pers. 2017 Apr;67:97-105. doi: 10.1016/j.jrp.2016.05.008. Epub 2016 May 20. PMID: 28416889; PMCID: PMC5391690.
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Robust treatment comparison based on utilities of semi-competing risks in non-small-cell lung cancer.

Journal of the American Statistical Association

Murray TA, Thall PF, Yuan Y, McAvoy S, Gomez DR.
PMID: 28943681
J Am Stat Assoc. 2017;112:11-23. doi: 10.1080/01621459.2016.1176926. Epub 2017 May 03.

A design is presented for a randomized clinical trial comparing two second-line treatments, chemotherapy versus chemotherapy plus reirradiation, for treatment of recurrent non-small-cell lung cancer. The central research question is whether the potential efficacy benefit that adding reirradiation to...

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Murray TA, Thall PF, Yuan Y, et al. Robust treatment comparison based on utilities of semi-competing risks in non-small-cell lung cancer. J Am Stat Assoc. 2017;112:11-23doi: 10.1080/01621459.2016.1176926.
Murray, T. A., Thall, P. F., Yuan, Y., McAvoy, S., & Gomez, D. R. (2017). Robust treatment comparison based on utilities of semi-competing risks in non-small-cell lung cancer. Journal of the American Statistical Association, 11211-23. https://doi.org/10.1080/01621459.2016.1176926
Murray, Thomas A, et al. "Robust treatment comparison based on utilities of semi-competing risks in non-small-cell lung cancer." Journal of the American Statistical Association vol. 112 (2017): 11-23. doi: https://doi.org/10.1080/01621459.2016.1176926
Murray TA, Thall PF, Yuan Y, McAvoy S, Gomez DR. Robust treatment comparison based on utilities of semi-competing risks in non-small-cell lung cancer. J Am Stat Assoc. 2017;112:11-23. doi: 10.1080/01621459.2016.1176926. Epub 2017 May 03. PMID: 28943681; PMCID: PMC5607962.
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Release of arsenic from metal oxide sorbents under simulated mature landfill conditions.

Chemosphere

Guzmán HM, Li J, Keshta M, Sáez AE, Ela WP.
PMID: 26928334
Chemosphere. 2016 May;151:84-93. doi: 10.1016/j.chemosphere.2016.02.039. Epub 2016 Mar 15.

No abstract available.

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Guzmán HM, Li J, Keshta M, et al. Release of arsenic from metal oxide sorbents under simulated mature landfill conditions. Chemosphere. 2016;151:84-93doi: 10.1016/j.chemosphere.2016.02.039.
Guzmán, H. M., Li, J., Keshta, M., Sáez, A. E., & Ela, W. P. (2016). Release of arsenic from metal oxide sorbents under simulated mature landfill conditions. Chemosphere, 15184-93. https://doi.org/10.1016/j.chemosphere.2016.02.039
Guzmán, Héctor M, et al. "Release of arsenic from metal oxide sorbents under simulated mature landfill conditions." Chemosphere vol. 151 (2016): 84-93. doi: https://doi.org/10.1016/j.chemosphere.2016.02.039
Guzmán HM, Li J, Keshta M, Sáez AE, Ela WP. Release of arsenic from metal oxide sorbents under simulated mature landfill conditions. Chemosphere. 2016 May;151:84-93. doi: 10.1016/j.chemosphere.2016.02.039. Epub 2016 Mar 15. PMID: 26928334.
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Fathers' Representation in Observational Studies on Parenting and Childhood Obesity: A Systematic Review and Content Analysis.

American journal of public health

Davison KK, Gicevic S, Aftosmes-Tobio A, Ganter C, Simon CL, Newlan S, Manganello JA.
PMID: 27631735
Am J Public Health. 2016 Nov;106(11):e14-e21. doi: 10.2105/AJPH.2016.303391. Epub 2016 Sep 15.

BACKGROUND: The involvement of fathers in caregiving has increased substantially over the past 30 years. Yet in child and adolescent psychopathology, few studies include fathers as research participants and few present results for fathers separate from those for mothers....

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Davison KK, Gicevic S, Aftosmes-Tobio A, et al. Fathers' Representation in Observational Studies on Parenting and Childhood Obesity: A Systematic Review and Content Analysis. Am J Public Health. 2016;106(11):e14-e21doi: 10.2105/AJPH.2016.303391.
Davison, K. K., Gicevic, S., Aftosmes-Tobio, A., Ganter, C., Simon, C. L., Newlan, S., & Manganello, J. A. (2016). Fathers' Representation in Observational Studies on Parenting and Childhood Obesity: A Systematic Review and Content Analysis. American journal of public health, 106(11), e14-e21. https://doi.org/10.2105/AJPH.2016.303391
Davison, Kirsten K, et al. "Fathers' Representation in Observational Studies on Parenting and Childhood Obesity: A Systematic Review and Content Analysis." American journal of public health vol. 106,11 (2016): e14-e21. doi: https://doi.org/10.2105/AJPH.2016.303391
Davison KK, Gicevic S, Aftosmes-Tobio A, Ganter C, Simon CL, Newlan S, Manganello JA. Fathers' Representation in Observational Studies on Parenting and Childhood Obesity: A Systematic Review and Content Analysis. Am J Public Health. 2016 Nov;106(11):e14-e21. doi: 10.2105/AJPH.2016.303391. Epub 2016 Sep 15. PMID: 27631735; PMCID: PMC5055776.
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Exenatide Improves HDL Particle Counts and Size Distribution in Patients With Long-standing Type 1 Diabetes.

Diabetes care

Gourgari EA, Mete M, Sampson ML, Harlan DM, Remaley AT, Rother KI.
PMID: 28515131
Diabetes Care. 2017 Jul;40(7):e88-e89. doi: 10.2337/dc16-2602. Epub 2017 May 17.

No abstract available.

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Gourgari EA, Mete M, Sampson ML, et al. Exenatide Improves HDL Particle Counts and Size Distribution in Patients With Long-standing Type 1 Diabetes. Diabetes Care. 2017;40(7):e88-e89doi: 10.2337/dc16-2602.
Gourgari, E. A., Mete, M., Sampson, M. L., Harlan, D. M., Remaley, A. T., & Rother, K. I. (2017). Exenatide Improves HDL Particle Counts and Size Distribution in Patients With Long-standing Type 1 Diabetes. Diabetes care, 40(7), e88-e89. https://doi.org/10.2337/dc16-2602
Gourgari, Evgenia A, et al. "Exenatide Improves HDL Particle Counts and Size Distribution in Patients With Long-standing Type 1 Diabetes." Diabetes care vol. 40,7 (2017): e88-e89. doi: https://doi.org/10.2337/dc16-2602
Gourgari EA, Mete M, Sampson ML, Harlan DM, Remaley AT, Rother KI. Exenatide Improves HDL Particle Counts and Size Distribution in Patients With Long-standing Type 1 Diabetes. Diabetes Care. 2017 Jul;40(7):e88-e89. doi: 10.2337/dc16-2602. Epub 2017 May 17. PMID: 28515131; PMCID: PMC5481982.
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While the revolution will not be crystallized, biochemistry reigns supreme.

Protein science : a publication of the Protein Society

Takizawa Y, Binshtein E, Erwin AL, Pyburn TM, Mittendorf KF, Ohi MD.
PMID: 27673321
Protein Sci. 2017 Jan;26(1):69-81. doi: 10.1002/pro.3054. Epub 2016 Oct 06.

Single-particle cryo-electron microscopy (EM) is currently gaining attention for the ability to calculate structures that reach sub-5 Å resolutions; however, the technique is more than just an alternative approach to X-ray crystallography. Molecular machines work via dynamic conformational changes,...

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Takizawa Y, Binshtein E, Erwin AL, et al. While the revolution will not be crystallized, biochemistry reigns supreme. Protein Sci. 2016;26(1):69-81doi: 10.1002/pro.3054.
Takizawa, Y., Binshtein, E., Erwin, A. L., Pyburn, T. M., Mittendorf, K. F., & Ohi, M. D. (2017). While the revolution will not be crystallized, biochemistry reigns supreme. Protein science : a publication of the Protein Society, 26(1), 69-81. https://doi.org/10.1002/pro.3054
Takizawa, Yoshimasa, et al. "While the revolution will not be crystallized, biochemistry reigns supreme." Protein science : a publication of the Protein Society vol. 26,1 (2017): 69-81. doi: https://doi.org/10.1002/pro.3054
Takizawa Y, Binshtein E, Erwin AL, Pyburn TM, Mittendorf KF, Ohi MD. While the revolution will not be crystallized, biochemistry reigns supreme. Protein Sci. 2017 Jan;26(1):69-81. doi: 10.1002/pro.3054. Epub 2016 Oct 06. PMID: 27673321; PMCID: PMC5192976.
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Multiferroic coreshell magnetoelectric nanoparticles as NMR sensitive nanoprobes for cancer cell detection.

Scientific reports

Nagesetti A, Rodzinski A, Stimphil E, Stewart T, Khanal C, Wang P, Guduru R, Liang P, Agoulnik I, Horstmyer J, Khizroev S.
PMID: 28487517
Sci Rep. 2017 May 03;7(1):1610. doi: 10.1038/s41598-017-01647-x.

Magnetoelectric (ME) nanoparticles (MENs) intrinsically couple magnetic and electric fields. Using them as nuclear magnetic resonance (NMR) sensitive nanoprobes adds another dimension for NMR detection of biological cells based on the cell type and corresponding particle association with the...

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Nagesetti A, Rodzinski A, Stimphil E, et al. Multiferroic coreshell magnetoelectric nanoparticles as NMR sensitive nanoprobes for cancer cell detection. Sci Rep. 2017;7(1):1610doi: 10.1038/s41598-017-01647-x.
Nagesetti, A., Rodzinski, A., Stimphil, E., Stewart, T., Khanal, C., Wang, P., Guduru, R., Liang, P., Agoulnik, I., Horstmyer, J., & Khizroev, S. (2017). Multiferroic coreshell magnetoelectric nanoparticles as NMR sensitive nanoprobes for cancer cell detection. Scientific reports, 7(1), 1610. https://doi.org/10.1038/s41598-017-01647-x
Nagesetti, Abhignyan, et al. "Multiferroic coreshell magnetoelectric nanoparticles as NMR sensitive nanoprobes for cancer cell detection." Scientific reports vol. 7,1 (2017): 1610. doi: https://doi.org/10.1038/s41598-017-01647-x
Nagesetti A, Rodzinski A, Stimphil E, Stewart T, Khanal C, Wang P, Guduru R, Liang P, Agoulnik I, Horstmyer J, Khizroev S. Multiferroic coreshell magnetoelectric nanoparticles as NMR sensitive nanoprobes for cancer cell detection. Sci Rep. 2017 May 03;7(1):1610. doi: 10.1038/s41598-017-01647-x. PMID: 28487517; PMCID: PMC5431629.
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Reply to Barrett, et al.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Freeman ML, Mudd JC, Shive CL, Younes SA, Panigrahi S, Sieg SF, Lee SA, Hunt PW, Calabrese LH, Gianella S, Rodriguez B, Lederman MM.
PMID: 27001803
Clin Infect Dis. 2016 Jun 01;62(11):1468-9. doi: 10.1093/cid/ciw152. Epub 2016 Mar 21.

No abstract available.

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Freeman ML, Mudd JC, Shive CL, et al. Reply to Barrett, et al. Clin Infect Dis. 2016;62(11):1468-9doi: 10.1093/cid/ciw152.
Freeman, M. L., Mudd, J. C., Shive, C. L., Younes, S. A., Panigrahi, S., Sieg, S. F., Lee, S. A., Hunt, P. W., Calabrese, L. H., Gianella, S., Rodriguez, B., & Lederman, M. M. (2016). Reply to Barrett, et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 62(11), 1468-9. https://doi.org/10.1093/cid/ciw152
Freeman, Michael L, et al. "Reply to Barrett, et al." Clinical infectious diseases : an official publication of the Infectious Diseases Society of America vol. 62,11 (2016): 1468-9. doi: https://doi.org/10.1093/cid/ciw152
Freeman ML, Mudd JC, Shive CL, Younes SA, Panigrahi S, Sieg SF, Lee SA, Hunt PW, Calabrese LH, Gianella S, Rodriguez B, Lederman MM. Reply to Barrett, et al. Clin Infect Dis. 2016 Jun 01;62(11):1468-9. doi: 10.1093/cid/ciw152. Epub 2016 Mar 21. PMID: 27001803; PMCID: PMC5006408.
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CD11b+Ly6G+ cells inhibit tumor growth by suppressing IL-17 production at early stages of tumorigenesis.

Oncoimmunology

Liu Y, O'Leary CE, Wang LS, Bhatti TR, Dai N, Kapoor V, Liu P, Mei J, Guo L, Oliver PM, Albelda SM, Worthen GS.
PMID: 26942073
Oncoimmunology. 2015 Jul 28;5(1):e1061175. doi: 10.1080/2162402X.2015.1061175. eCollection 2016.

Neutrophils are important innate immune cells involved in microbial clearance at the sites of infection. However, their role in cancer development is unclear. We hypothesized that neutrophils mediate antitumor effects in early tumorigenesis. To test this, we first studied...

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Liu Y, O'Leary CE, Wang LS, et al. CD11b+Ly6G+ cells inhibit tumor growth by suppressing IL-17 production at early stages of tumorigenesis. Oncoimmunology. 2015;5(1):e1061175doi: 10.1080/2162402X.2015.1061175.
Liu, Y., O'Leary, C. E., Wang, L. S., Bhatti, T. R., Dai, N., Kapoor, V., Liu, P., Mei, J., Guo, L., Oliver, P. M., Albelda, S. M., & Worthen, G. S. (2016). CD11b+Ly6G+ cells inhibit tumor growth by suppressing IL-17 production at early stages of tumorigenesis. Oncoimmunology, 5(1), e1061175. https://doi.org/10.1080/2162402X.2015.1061175
Liu, Yuhong, et al. "CD11b+Ly6G+ cells inhibit tumor growth by suppressing IL-17 production at early stages of tumorigenesis." Oncoimmunology vol. 5,1 (2016): e1061175. doi: https://doi.org/10.1080/2162402X.2015.1061175
Liu Y, O'Leary CE, Wang LS, Bhatti TR, Dai N, Kapoor V, Liu P, Mei J, Guo L, Oliver PM, Albelda SM, Worthen GS. CD11b+Ly6G+ cells inhibit tumor growth by suppressing IL-17 production at early stages of tumorigenesis. Oncoimmunology. 2015 Jul 28;5(1):e1061175. doi: 10.1080/2162402X.2015.1061175. eCollection 2016. PMID: 26942073; PMCID: PMC4760327.
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Genetic risk variants for social anxiety.

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics

Stein MB, Chen CY, Jain S, Jensen KP, He F, Heeringa SG, Kessler RC, Maihofer A, Nock MK, Ripke S, Sun X, Thomas ML, Ursano RJ, Smoller JW, Gelernter J.
PMID: 28512750
Am J Med Genet B Neuropsychiatr Genet. 2017 Jun;174(4):470-482. doi: 10.1002/ajmg.b.32541. Epub 2017 Apr 27.

No abstract available.

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Stein MB, Chen CY, Jain S, et al. Genetic risk variants for social anxiety. Am J Med Genet B Neuropsychiatr Genet. 2017;174(4):470-482doi: 10.1002/ajmg.b.32541.
Stein, M. B., Chen, C. Y., Jain, S., Jensen, K. P., He, F., Heeringa, S. G., Kessler, R. C., Maihofer, A., Nock, M. K., Ripke, S., Sun, X., Thomas, M. L., Ursano, R. J., Smoller, J. W., Gelernter, J. (2017). Genetic risk variants for social anxiety. American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 174(4), 470-482. https://doi.org/10.1002/ajmg.b.32541
Stein, Murray B, et al. "Genetic risk variants for social anxiety." American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics vol. 174,4 (2017): 470-482. doi: https://doi.org/10.1002/ajmg.b.32541
Stein MB, Chen CY, Jain S, Jensen KP, He F, Heeringa SG, Kessler RC, Maihofer A, Nock MK, Ripke S, Sun X, Thomas ML, Ursano RJ, Smoller JW, Gelernter J. Genetic risk variants for social anxiety. Am J Med Genet B Neuropsychiatr Genet. 2017 Jun;174(4):470-482. doi: 10.1002/ajmg.b.32541. Epub 2017 Apr 27. PMID: 28512750.
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Showing 13 to 24 of 34391 entries