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Presentation of spectra.

Applied optics

Baker DJ, Brown WL.
PMID: 20057537
Appl Opt. 1966 Aug 01;5(8):1331-3. doi: 10.1364/AO.5.001331.

No abstract available.

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Baker DJ, Brown WL. Presentation of spectra. Appl Opt. 1966;5(8):1331-3doi: 10.1364/AO.5.001331.
Baker, D. J., & Brown, W. L. (1966). Presentation of spectra. Applied optics, 5(8), 1331-3. https://doi.org/10.1364/AO.5.001331
Baker, D J, and Brown, W L. "Presentation of spectra." Applied optics vol. 5,8 (1966): 1331-3. doi: https://doi.org/10.1364/AO.5.001331
Baker DJ, Brown WL. Presentation of spectra. Appl Opt. 1966 Aug 01;5(8):1331-3. doi: 10.1364/AO.5.001331. PMID: 20057537.
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The disaggregation of within-person and between-person effects in longitudinal models of change.

Annual review of psychology

Curran PJ, Bauer DJ.
PMID: 19575624
Annu Rev Psychol. 2011;62:583-619. doi: 10.1146/annurev.psych.093008.100356.

Longitudinal models are becoming increasingly prevalent in the behavioral sciences, with key advantages including increased power, more comprehensive measurement, and establishment of temporal precedence. One particularly salient strength offered by longitudinal data is the ability to disaggregate between-person and...

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Curran PJ, Bauer DJ. The disaggregation of within-person and between-person effects in longitudinal models of change. Annu Rev Psychol. 2011;62:583-619doi: 10.1146/annurev.psych.093008.100356.
Curran, P. J., & Bauer, D. J. (2011). The disaggregation of within-person and between-person effects in longitudinal models of change. Annual review of psychology, 62583-619. https://doi.org/10.1146/annurev.psych.093008.100356
Curran, Patrick J, and Bauer, Daniel J. "The disaggregation of within-person and between-person effects in longitudinal models of change." Annual review of psychology vol. 62 (2011): 583-619. doi: https://doi.org/10.1146/annurev.psych.093008.100356
Curran PJ, Bauer DJ. The disaggregation of within-person and between-person effects in longitudinal models of change. Annu Rev Psychol. 2011;62:583-619. doi: 10.1146/annurev.psych.093008.100356. PMID: 19575624; PMCID: PMC3059070.
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Multidisciplinary population monitoring when demographic data are sparse: a case study of remote trout populations.

Ecology and evolution

Fraser DJ, Calvert AM, Bernatchez L, Coon A.
PMID: 24455128
Ecol Evol. 2013 Dec;3(15):4954-69. doi: 10.1002/ece3.871. Epub 2013 Nov 08.

The potential of genetic, genomic, and phenotypic metrics for monitoring population trends may be especially high in isolated regions, where traditional demographic monitoring is logistically difficult and only sporadic sampling is possible. This potential, however, is relatively underexplored empirically....

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Fraser DJ, Calvert AM, Bernatchez L, et al. Multidisciplinary population monitoring when demographic data are sparse: a case study of remote trout populations. Ecol Evol. 2013;3(15):4954-69doi: 10.1002/ece3.871.
Fraser, D. J., Calvert, A. M., Bernatchez, L., & Coon, A. (2013). Multidisciplinary population monitoring when demographic data are sparse: a case study of remote trout populations. Ecology and evolution, 3(15), 4954-69. https://doi.org/10.1002/ece3.871
Fraser, Dylan J, et al. "Multidisciplinary population monitoring when demographic data are sparse: a case study of remote trout populations." Ecology and evolution vol. 3,15 (2013): 4954-69. doi: https://doi.org/10.1002/ece3.871
Fraser DJ, Calvert AM, Bernatchez L, Coon A. Multidisciplinary population monitoring when demographic data are sparse: a case study of remote trout populations. Ecol Evol. 2013 Dec;3(15):4954-69. doi: 10.1002/ece3.871. Epub 2013 Nov 08. PMID: 24455128; PMCID: PMC3892360.
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Author Correction: Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations.

Nature communications

Kranzler HR, Zhou H, Kember RL, Smith RV, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J.
PMID: 31481659
Nat Commun. 2019 Sep 03;10(1):4050. doi: 10.1038/s41467-019-11916-0.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Kranzler HR, Zhou H, Kember RL, et al. Author Correction: Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nat Commun. 2019;10(1):4050doi: 10.1038/s41467-019-11916-0.
Kranzler, H. R., Zhou, H., Kember, R. L., Smith, R. V., Justice, A. C., Damrauer, S., Tsao, P. S., Klarin, D., Baras, A., Reid, J., Overton, J., Rader, D. J., Cheng, Z., Tate, J. P., Becker, W. C., Concato, J., Xu, K., Polimanti, R., Zhao, H., & Gelernter, J. (2019). Author Correction: Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature communications, 10(1), 4050. https://doi.org/10.1038/s41467-019-11916-0
Kranzler, Henry R, et al. "Author Correction: Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations." Nature communications vol. 10,1 (2019): 4050. doi: https://doi.org/10.1038/s41467-019-11916-0
Kranzler HR, Zhou H, Kember RL, Smith RV, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Author Correction: Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nat Commun. 2019 Sep 03;10(1):4050. doi: 10.1038/s41467-019-11916-0. PMID: 31481659; PMCID: PMC6722074.
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Improving Factor Score Estimation Through the Use of Observed Background Characteristics.

Structural equation modeling : a multidisciplinary journal

Curran PJ, Cole V, Bauer DJ, Hussong AM, Gottfredson N.
PMID: 28757790
Struct Equ Modeling. 2016;23(6):827-844. doi: 10.1080/10705511.2016.1220839. Epub 2016 Sep 09.

A challenge facing nearly all studies in the psychological sciences is how to best combine multiple items into a valid and reliable score to be used in subsequent modelling. The most ubiquitous method is to compute a mean of...

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Curran PJ, Cole V, Bauer DJ, et al. Improving Factor Score Estimation Through the Use of Observed Background Characteristics. Struct Equ Modeling. 2016;23(6):827-844doi: 10.1080/10705511.2016.1220839.
Curran, P. J., Cole, V., Bauer, D. J., Hussong, A. M., & Gottfredson, N. (2016). Improving Factor Score Estimation Through the Use of Observed Background Characteristics. Structural equation modeling : a multidisciplinary journal, 23(6), 827-844. https://doi.org/10.1080/10705511.2016.1220839
Curran, Patrick J, et al. "Improving Factor Score Estimation Through the Use of Observed Background Characteristics." Structural equation modeling : a multidisciplinary journal vol. 23,6 (2016): 827-844. doi: https://doi.org/10.1080/10705511.2016.1220839
Curran PJ, Cole V, Bauer DJ, Hussong AM, Gottfredson N. Improving Factor Score Estimation Through the Use of Observed Background Characteristics. Struct Equ Modeling. 2016;23(6):827-844. doi: 10.1080/10705511.2016.1220839. Epub 2016 Sep 09. PMID: 28757790; PMCID: PMC5526637.
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Current practice in total-body irradiation: results of a Canada-wide survey.

Current oncology (Toronto, Ont.)

Studinski RCN, Fraser DJ, Samant RS, MacPherson MS.
PMID: 28680278
Curr Oncol. 2017 Jun;24(3):181-186. doi: 10.3747/co.24.3484. Epub 2017 Jun 27.

BACKGROUND: Total-body irradiation (tbi) is used to condition patients before bone marrow transplant. A variety of tbi treatment strategies have been described and implemented, but no consensus on best practice has been reached. We report on the results of...

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Studinski RCN, Fraser DJ, Samant RS, et al. Current practice in total-body irradiation: results of a Canada-wide survey. Curr Oncol. 2017;24(3):181-186doi: 10.3747/co.24.3484.
Studinski, R. C. N., Fraser, D. J., Samant, R. S., & MacPherson, M. S. (2017). Current practice in total-body irradiation: results of a Canada-wide survey. Current oncology (Toronto, Ont.), 24(3), 181-186. https://doi.org/10.3747/co.24.3484
Studinski, R C N, et al. "Current practice in total-body irradiation: results of a Canada-wide survey." Current oncology (Toronto, Ont.) vol. 24,3 (2017): 181-186. doi: https://doi.org/10.3747/co.24.3484
Studinski RCN, Fraser DJ, Samant RS, MacPherson MS. Current practice in total-body irradiation: results of a Canada-wide survey. Curr Oncol. 2017 Jun;24(3):181-186. doi: 10.3747/co.24.3484. Epub 2017 Jun 27. PMID: 28680278; PMCID: PMC5486383.
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Grading upper tract urothelial carcinoma with the attenuation coefficient of in-vivo optical coherence tomography.

Lasers in surgery and medicine

Freund JE, Faber DJ, Bus MT, van Leeuwen TG, de Bruin DM.
PMID: 30919487
Lasers Surg Med. 2019 Mar 28; doi: 10.1002/lsm.23079. Epub 2019 Mar 28.

INTRODUCTION: With catheter based optical coherence tomography (OCT), high resolution images of the upper urinary tract can be obtained, thereby facilitating the detection of upper tract urothelial carcinomas (UTUC). We hypothesized that the attenuation coefficient of the OCT signal...

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Freund JE, Faber DJ, Bus MT, et al. Grading upper tract urothelial carcinoma with the attenuation coefficient of in-vivo optical coherence tomography. Lasers Surg Med. 2019;doi: 10.1002/lsm.23079.
Freund, J. E., Faber, D. J., Bus, M. T., van Leeuwen, T. G., & de Bruin, D. M. (2019). Grading upper tract urothelial carcinoma with the attenuation coefficient of in-vivo optical coherence tomography. Lasers in surgery and medicine, . https://doi.org/10.1002/lsm.23079
Freund, Jan Erik, et al. "Grading upper tract urothelial carcinoma with the attenuation coefficient of in-vivo optical coherence tomography." Lasers in surgery and medicine vol. (2019). doi: https://doi.org/10.1002/lsm.23079
Freund JE, Faber DJ, Bus MT, van Leeuwen TG, de Bruin DM. Grading upper tract urothelial carcinoma with the attenuation coefficient of in-vivo optical coherence tomography. Lasers Surg Med. 2019 Mar 28; doi: 10.1002/lsm.23079. Epub 2019 Mar 28. PMID: 30919487.
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SARS-CoV-2 Seroprevalence Among Parturient Women.

medRxiv : the preprint server for health sciences

Flannery DD, Gouma S, Dhudasia MB, Mukhopadhyay S, Pfeifer MR, Woodford EC, Gerber JS, Arevalo CP, Bolton MJ, Weirick ME, Goodwin EC, Anderson EM, Greenplate AR, Kim J, Han N, Pattekar A, Dougherty J, Kuthuru O, Mathew D, Baxter AE, Vella LA, Weaver J, Verma A, Leite R, Morris JS, Rader DJ, Elovitz MA, Wherry EJ, Puopolo KM, Hensley SE.
PMID: 32676623
medRxiv. 2020 Jul 10; doi: 10.1101/2020.07.08.20149179.

Limited data are available for pregnant women affected by SARS-CoV-2. Serological tests are critically important to determine exposure and immunity to SARS-CoV-2 within both individuals and populations. We completed SARS-CoV-2 serological testing of 1,293 parturient women at two centers...

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Flannery DD, Gouma S, Dhudasia MB, et al. SARS-CoV-2 Seroprevalence Among Parturient Women. medRxiv. 2020;doi: 10.1101/2020.07.08.20149179.
Flannery, D. D., Gouma, S., Dhudasia, M. B., Mukhopadhyay, S., Pfeifer, M. R., Woodford, E. C., Gerber, J. S., Arevalo, C. P., Bolton, M. J., Weirick, M. E., Goodwin, E. C., Anderson, E. M., Greenplate, A. R., Kim, J., Han, N., Pattekar, A., Dougherty, J., Kuthuru, O., Mathew, D., Baxter, A. E., Vella, L. A., Weaver, J., Verma, A., Leite, R., Morris, J. S., Rader, D. J., Elovitz, M. A., Wherry, E. J., Puopolo, K. M., & Hensley, S. E. (2020). SARS-CoV-2 Seroprevalence Among Parturient Women. medRxiv : the preprint server for health sciences, . https://doi.org/10.1101/2020.07.08.20149179
Flannery, Dustin D, et al. "SARS-CoV-2 Seroprevalence Among Parturient Women." medRxiv : the preprint server for health sciences vol. (2020). doi: https://doi.org/10.1101/2020.07.08.20149179
Flannery DD, Gouma S, Dhudasia MB, Mukhopadhyay S, Pfeifer MR, Woodford EC, Gerber JS, Arevalo CP, Bolton MJ, Weirick ME, Goodwin EC, Anderson EM, Greenplate AR, Kim J, Han N, Pattekar A, Dougherty J, Kuthuru O, Mathew D, Baxter AE, Vella LA, Weaver J, Verma A, Leite R, Morris JS, Rader DJ, Elovitz MA, Wherry EJ, Puopolo KM, Hensley SE. SARS-CoV-2 Seroprevalence Among Parturient Women. medRxiv. 2020 Jul 10; doi: 10.1101/2020.07.08.20149179. PMID: 32676623; PMCID: PMC7359548.
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Evaluation of intrarenal pressure stability at different lithotripter suction settings in a porcine kidney model.

World journal of urology

Strittmatter F, Nagele U, Schachtner J, Bader MJ.
PMID: 33774719
World J Urol. 2021 Sep;39(9):3665-3670. doi: 10.1007/s00345-021-03679-5. Epub 2021 Mar 28.

PURPOSE: Using the Swiss LithoClastMETHODS: In an ex vivo porcine kidney model, we recorded intrarenal pressure levels with different suction levels. StorzRESULTS: Pressure stabilized at 19 cm HCONCLUSIONS: When using the LithoClast

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Strittmatter F, Nagele U, Schachtner J, et al. Evaluation of intrarenal pressure stability at different lithotripter suction settings in a porcine kidney model. World J Urol. 2021;39(9):3665-3670doi: 10.1007/s00345-021-03679-5.
Strittmatter, F., Nagele, U., Schachtner, J., & Bader, M. J. (2021). Evaluation of intrarenal pressure stability at different lithotripter suction settings in a porcine kidney model. World journal of urology, 39(9), 3665-3670. https://doi.org/10.1007/s00345-021-03679-5
Strittmatter, Frank, et al. "Evaluation of intrarenal pressure stability at different lithotripter suction settings in a porcine kidney model." World journal of urology vol. 39,9 (2021): 3665-3670. doi: https://doi.org/10.1007/s00345-021-03679-5
Strittmatter F, Nagele U, Schachtner J, Bader MJ. Evaluation of intrarenal pressure stability at different lithotripter suction settings in a porcine kidney model. World J Urol. 2021 Sep;39(9):3665-3670. doi: 10.1007/s00345-021-03679-5. Epub 2021 Mar 28. PMID: 33774719.
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A catalog of associations between rare coding variants and COVID-19 outcomes.

medRxiv : the preprint server for health sciences

Kosmicki JA, Horowitz JE, Banerjee N, Lanche R, Marcketta A, Maxwell E, Bai X, Sun D, Backman JD, Sharma D, Kang HM, O'Dushlaine C, Yadav A, Mansfield AJ, Li AH, Watanabe K, Gurski L, McCarthy SE, Locke AE, Khalid S, O'Keeffe S, Mbatchou J, Chazara O, Huang Y, Kvikstad E, O'Neill A, Nioi P, Parker MM, Petrovski S, Runz H, Szustakowski JD, Wang Q, Wong E, Cordova-Palomera A, Smith EN, Szalma S, Zheng X, Esmaeeli S, Davis JW, Lai YP, Chen X, Justice AE, Leader JB, Mirshahi T, Carey DJ, Verma A, Sirugo G, Ritchie MD, Rader DJ, Povysil G, Goldstein DB, Kiryluk K, Pairo-Castineira E, Rawlik K, Pasko D, Walker S, Meynert A, Kousathanas A, Moutsianas L, Tenesa A, Caulfield M, Scott R, Wilson JF, Baillie JK, Butler-Laporte G, Nakanishi T, Lathrop M, Richards JB, Jones M, Balasubramanian S, Salerno W, Shuldiner AR, Marchini J, Overton JD, Habegger L, Cantor MN, Reid JG, Baras A, Abecasis GR, Ferreira MA.
PMID: 33655273
medRxiv. 2021 Feb 27; doi: 10.1101/2020.10.28.20221804.

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease-19 (COVID-19), a respiratory illness that can result in hospitalization or death. We investigated associations between rare genetic variants and seven COVID-19 outcomes in 543,213 individuals, including 8,248 with COVID-19. After...

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Kosmicki JA, Horowitz JE, Banerjee N, et al. A catalog of associations between rare coding variants and COVID-19 outcomes. medRxiv. 2021;doi: 10.1101/2020.10.28.20221804.
Kosmicki, J. A., Horowitz, J. E., Banerjee, N., Lanche, R., Marcketta, A., Maxwell, E., Bai, X., Sun, D., Backman, J. D., Sharma, D., Kang, H. M., O'Dushlaine, C., Yadav, A., Mansfield, A. J., Li, A. H., Watanabe, K., Gurski, L., McCarthy, S. E., Locke, A. E., Khalid, S., O'Keeffe, S., Mbatchou, J., Chazara, O., Huang, Y., Kvikstad, E., O'Neill, A., Nioi, P., Parker, M. M., Petrovski, S., Runz, H., Szustakowski, J. D., Wang, Q., Wong, E., Cordova-Palomera, A., Smith, E. N., Szalma, S., Zheng, X., Esmaeeli, S., Davis, J. W., Lai, Y. P., Chen, X., Justice, A. E., Leader, J. B., Mirshahi, T., Carey, D. J., Verma, A., Sirugo, G., Ritchie, M. D., Rader, D. J., Povysil, G., Goldstein, D. B., Kiryluk, K., Pairo-Castineira, E., Rawlik, K., Pasko, D., Walker, S., Meynert, A., Kousathanas, A., Moutsianas, L., Tenesa, A., Caulfield, M., Scott, R., Wilson, J. F., Baillie, J. K., Butler-Laporte, G., Nakanishi, T., Lathrop, M., Richards, J. B., Jones, M., Balasubramanian, S., Salerno, W., Shuldiner, A. R., Marchini, J., Overton, J. D., Habegger, L., Cantor, M. N., Reid, J. G., Baras, A., Abecasis, G. R., & Ferreira, M. A. (2021). A catalog of associations between rare coding variants and COVID-19 outcomes. medRxiv : the preprint server for health sciences, . https://doi.org/10.1101/2020.10.28.20221804
Kosmicki, J A, et al. "A catalog of associations between rare coding variants and COVID-19 outcomes." medRxiv : the preprint server for health sciences vol. (2021). doi: https://doi.org/10.1101/2020.10.28.20221804
Kosmicki JA, Horowitz JE, Banerjee N, Lanche R, Marcketta A, Maxwell E, Bai X, Sun D, Backman JD, Sharma D, Kang HM, O'Dushlaine C, Yadav A, Mansfield AJ, Li AH, Watanabe K, Gurski L, McCarthy SE, Locke AE, Khalid S, O'Keeffe S, Mbatchou J, Chazara O, Huang Y, Kvikstad E, O'Neill A, Nioi P, Parker MM, Petrovski S, Runz H, Szustakowski JD, Wang Q, Wong E, Cordova-Palomera A, Smith EN, Szalma S, Zheng X, Esmaeeli S, Davis JW, Lai YP, Chen X, Justice AE, Leader JB, Mirshahi T, Carey DJ, Verma A, Sirugo G, Ritchie MD, Rader DJ, Povysil G, Goldstein DB, Kiryluk K, Pairo-Castineira E, Rawlik K, Pasko D, Walker S, Meynert A, Kousathanas A, Moutsianas L, Tenesa A, Caulfield M, Scott R, Wilson JF, Baillie JK, Butler-Laporte G, Nakanishi T, Lathrop M, Richards JB, Jones M, Balasubramanian S, Salerno W, Shuldiner AR, Marchini J, Overton JD, Habegger L, Cantor MN, Reid JG, Baras A, Abecasis GR, Ferreira MA. A catalog of associations between rare coding variants and COVID-19 outcomes. medRxiv. 2021 Feb 27; doi: 10.1101/2020.10.28.20221804. PMID: 33655273; PMCID: PMC7924298.
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Impact of natural selection on global patterns of genetic variation, and association with clinical phenotypes, at genes involved in SARS-CoV-2 infection.

medRxiv : the preprint server for health sciences

Zhang C, Verma A, Feng Y, Melo MCR, McQuillan M, Hansen M, Lucas A, Park J, Ranciaro A, Thompson S, Rubel MA, Campbell MC, Beggs W, Hirbo J, Mpoloka SW, Mokone GG, Nyambo T, Meskel DW, Belay G, Fokunang C, Njamnshi AK, Omar SA, Williams SM, Rader D, Ritchie MD, de la Fuente Nunez C, Sirugo G, Tishkoff S.
PMID: 34230933
medRxiv. 2021 Aug 07; doi: 10.1101/2021.06.28.21259529.

We investigated global patterns of genetic variation and signatures of natural selection at host genes relevant to SARS-CoV-2 infection (

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Zhang C, Verma A, Feng Y, et al. Impact of natural selection on global patterns of genetic variation, and association with clinical phenotypes, at genes involved in SARS-CoV-2 infection. medRxiv. 2021;doi: 10.1101/2021.06.28.21259529.
Zhang, C., Verma, A., Feng, Y., Melo, M. C. R., McQuillan, M., Hansen, M., Lucas, A., Park, J., Ranciaro, A., Thompson, S., Rubel, M. A., Campbell, M. C., Beggs, W., Hirbo, J., Mpoloka, S. W., Mokone, G. G., Nyambo, T., Meskel, D. W., Belay, G., Fokunang, C., Njamnshi, A. K., Omar, S. A., Williams, S. M., Rader, D., Ritchie, M. D., de la Fuente Nunez, C., Sirugo, G., & Tishkoff, S. (2021). Impact of natural selection on global patterns of genetic variation, and association with clinical phenotypes, at genes involved in SARS-CoV-2 infection. medRxiv : the preprint server for health sciences, . https://doi.org/10.1101/2021.06.28.21259529
Zhang, Chao, et al. "Impact of natural selection on global patterns of genetic variation, and association with clinical phenotypes, at genes involved in SARS-CoV-2 infection." medRxiv : the preprint server for health sciences vol. (2021). doi: https://doi.org/10.1101/2021.06.28.21259529
Zhang C, Verma A, Feng Y, Melo MCR, McQuillan M, Hansen M, Lucas A, Park J, Ranciaro A, Thompson S, Rubel MA, Campbell MC, Beggs W, Hirbo J, Mpoloka SW, Mokone GG, Nyambo T, Meskel DW, Belay G, Fokunang C, Njamnshi AK, Omar SA, Williams SM, Rader D, Ritchie MD, de la Fuente Nunez C, Sirugo G, Tishkoff S. Impact of natural selection on global patterns of genetic variation, and association with clinical phenotypes, at genes involved in SARS-CoV-2 infection. medRxiv. 2021 Aug 07; doi: 10.1101/2021.06.28.21259529. PMID: 34230933; PMCID: PMC8259910.
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Somatic Tumor Profile Analysis in a Patient with Germline .

Journal of personalized medicine

Huelsman KM, Basil JB, Sisson R, Lipe LR, Mahon B, Draper DJ.
PMID: 34357101
J Pers Med. 2021 Jul 05;11(7). doi: 10.3390/jpm11070634.

Lynch syndrome patients with synchronous endometrial and ovarian cancer (SEOC) are rare. When these cases occur, they are most often endometrioid histology and early grade. Early-grade tumors are not often sent for somatic tumor profiling. We present a 39...

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Huelsman KM, Basil JB, Sisson R, et al. Somatic Tumor Profile Analysis in a Patient with Germline . J Pers Med. 2021;11(7)doi: 10.3390/jpm11070634.
Huelsman, K. M., Basil, J. B., Sisson, R., Lipe, L. R., Mahon, B., & Draper, D. J. (2021). Somatic Tumor Profile Analysis in a Patient with Germline . Journal of personalized medicine, 11(7), . https://doi.org/10.3390/jpm11070634
Huelsman, Karen M, et al. "Somatic Tumor Profile Analysis in a Patient with Germline ." Journal of personalized medicine vol. 11,7 (2021). doi: https://doi.org/10.3390/jpm11070634
Huelsman KM, Basil JB, Sisson R, Lipe LR, Mahon B, Draper DJ. Somatic Tumor Profile Analysis in a Patient with Germline . J Pers Med. 2021 Jul 05;11(7). doi: 10.3390/jpm11070634. PMID: 34357101; PMCID: PMC8307264.
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Showing 25 to 36 of 300 entries