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[A method for the quantitative evaluation of laboratory research results using universal value tables].

Gigiena i sanitariia

Abramova-Obolenskaia NI, Kurzanov AM, Burenkov VN, Shenterov SE, Vertiev VV, Kipnis LE.
PMID: 1809656
Gig Sanit. 1991 Nov;(11):90-1.

No abstract available.

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Abramova-Obolenskaia NI, Kurzanov AM, Burenkov VN, et al. Metodika kolichestvennoĭ otsenki rezul'tatov laboratornykh issledovaniĭ s pomoshch'iu universal'nykh otsenochnykh tablits. [A method for the quantitative evaluation of laboratory research results using universal value tables]. Gig Sanit. 1991;(11):90-1
Abramova-Obolenskaia, N. I., Kurzanov, A. M., Burenkov, V. N., Shenterov, S. E., Vertiev, V. V., & Kipnis, L. E. (1991). Metodika kolichestvennoĭ otsenki rezul'tatov laboratornykh issledovaniĭ s pomoshch'iu universal'nykh otsenochnykh tablits. [A method for the quantitative evaluation of laboratory research results using universal value tables]. Gigiena i sanitariia, (11), 90-1.
Abramova-Obolenskaia, N I, et al. "Metodika kolichestvennoĭ otsenki rezul'tatov laboratornykh issledovaniĭ s pomoshch'iu universal'nykh otsenochnykh tablits." [A method for the quantitative evaluation of laboratory research results using universal value tables]. Gigiena i sanitariia vol. ,11 (1991): 90-1.
Abramova-Obolenskaia NI, Kurzanov AM, Burenkov VN, Shenterov SE, Vertiev VV, Kipnis LE. Metodika kolichestvennoĭ otsenki rezul'tatov laboratornykh issledovaniĭ s pomoshch'iu universal'nykh otsenochnykh tablits. [A method for the quantitative evaluation of laboratory research results using universal value tables]. Gig Sanit. 1991 Nov;(11):90-1. Russian. PMID: 1809656.
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[The man-machine dialog--introduction to the problem].

Methods of information in medicine. Supplement

Wagner G.
PMID: 1078463
Methods Inf Med Suppl. 1976;10:17-20.

No abstract available.

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Wagner G. Mensch-Maschine-Dialog--Einführung in die Problematik. [The man-machine dialog--introduction to the problem]. Methods Inf Med Suppl. 1976;10:17-20
Wagner, G. (1976). Mensch-Maschine-Dialog--Einführung in die Problematik. [The man-machine dialog--introduction to the problem]. Methods of information in medicine. Supplement, 1017-20.
Wagner, G. "Mensch-Maschine-Dialog--Einführung in die Problematik." [The man-machine dialog--introduction to the problem]. Methods of information in medicine. Supplement vol. 10 (1976): 17-20.
Wagner G. Mensch-Maschine-Dialog--Einführung in die Problematik. [The man-machine dialog--introduction to the problem]. Methods Inf Med Suppl. 1976;10:17-20. German. PMID: 1078463.
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Fractalis: a scalable open-source service for platform-independent interactive visual analysis of biomedical data.

GigaScience

Herzinger S, Grouès V, Gu W, Satagopam V, Banda P, Trefois C, Schneider R.
PMID: 30165440
Gigascience. 2018 Sep 01;7(9). doi: 10.1093/gigascience/giy109.

BACKGROUND: Translational research platforms share the aim of promoting a deeper understanding of stored data by providing visualization and analysis tools for data exploration and hypothesis generation. However, such tools are usually platform bound and are not easily reusable...

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Herzinger S, Grouès V, Gu W, et al. Fractalis: a scalable open-source service for platform-independent interactive visual analysis of biomedical data. Gigascience. 2018;7(9)doi: 10.1093/gigascience/giy109.
Herzinger, S., Grouès, V., Gu, W., Satagopam, V., Banda, P., Trefois, C., & Schneider, R. (2018). Fractalis: a scalable open-source service for platform-independent interactive visual analysis of biomedical data. GigaScience, 7(9), . https://doi.org/10.1093/gigascience/giy109
Herzinger, Sascha, et al. "Fractalis: a scalable open-source service for platform-independent interactive visual analysis of biomedical data." GigaScience vol. 7,9 (2018). doi: https://doi.org/10.1093/gigascience/giy109
Herzinger S, Grouès V, Gu W, Satagopam V, Banda P, Trefois C, Schneider R. Fractalis: a scalable open-source service for platform-independent interactive visual analysis of biomedical data. Gigascience. 2018 Sep 01;7(9). doi: 10.1093/gigascience/giy109. PMID: 30165440; PMCID: PMC6143733.
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CRCDA--Comprehensive resources for cancer NGS data analysis.

Database : the journal of biological databases and curation

Thangam M, Gopal RK.
PMID: 26450948
Database (Oxford). 2015 Oct 08;2015. doi: 10.1093/database/bav092. Print 2015.

Next generation sequencing (NGS) innovations put a compelling landmark in life science and changed the direction of research in clinical oncology with its productivity to diagnose and treat cancer. The aim of our portal comprehensive resources for cancer NGS...

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Thangam M, Gopal RK. CRCDA--Comprehensive resources for cancer NGS data analysis. Database (Oxford). 2015;2015doi: 10.1093/database/bav092.
Thangam, M., & Gopal, R. K. (2015). CRCDA--Comprehensive resources for cancer NGS data analysis. Database : the journal of biological databases and curation, 2015. https://doi.org/10.1093/database/bav092
Thangam, Manonanthini, and Gopal, Ramesh Kumar. "CRCDA--Comprehensive resources for cancer NGS data analysis." Database : the journal of biological databases and curation vol. 2015 (2015). doi: https://doi.org/10.1093/database/bav092
Thangam M, Gopal RK. CRCDA--Comprehensive resources for cancer NGS data analysis. Database (Oxford). 2015 Oct 08;2015. doi: 10.1093/database/bav092. Print 2015. PMID: 26450948; PMCID: PMC4597977.
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Development and implementation of PROgmatic: A clinical trial management system for pragmatic multi-centre trials, optimised for electronic data capture and patient-reported outcomes.

Clinical trials (London, England)

Cramon P, Rasmussen ÅK, Bonnema SJ, Bjorner JB, Feldt-Rasmussen U, Groenvold M, Hegedüs L, Watt T.
PMID: 24519964
Clin Trials. 2014 Jun;11(3):344-354. doi: 10.1177/1740774513517778.

Background Many clinical trials are conducted as explanatory trials, but the applicability of results from explanatory trials to clinical practice may be questioned. Pragmatic trials elucidate both benefits and harms of an intervention under conditions close to daily clinical...

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Cramon P, Rasmussen ÅK, Bonnema SJ, et al. Development and implementation of PROgmatic: A clinical trial management system for pragmatic multi-centre trials, optimised for electronic data capture and patient-reported outcomes. Clin Trials. 2014;11(3):344-354doi: 10.1177/1740774513517778.
Cramon, P., Rasmussen, �. �. K., Bonnema, S. J., Bjorner, J. B., Feldt-Rasmussen, U., Groenvold, M., Hegedüs, L., & Watt, T. (2014). Development and implementation of PROgmatic: A clinical trial management system for pragmatic multi-centre trials, optimised for electronic data capture and patient-reported outcomes. Clinical trials (London, England), 11(3), 344-354. https://doi.org/10.1177/1740774513517778
Cramon, Per, et al. "Development and implementation of PROgmatic: A clinical trial management system for pragmatic multi-centre trials, optimised for electronic data capture and patient-reported outcomes." Clinical trials (London, England) vol. 11,3 (2014): 344-354. doi: https://doi.org/10.1177/1740774513517778
Cramon P, Rasmussen ÅK, Bonnema SJ, Bjorner JB, Feldt-Rasmussen U, Groenvold M, Hegedüs L, Watt T. Development and implementation of PROgmatic: A clinical trial management system for pragmatic multi-centre trials, optimised for electronic data capture and patient-reported outcomes. Clin Trials. 2014 Jun;11(3):344-354. doi: 10.1177/1740774513517778. PMID: 24519964.
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Applying open-source software to laboratory data management.

Journal of laboratory automation

Murray GA, Crocker DP.
PMID: 21906558
J Lab Autom. 2011 Oct;16(5):327-34. doi: 10.1016/j.jala.2010.04.005. Epub 2010 Jul 21.

The rise of new experimental techniques, such as high-throughput combinatorial methods, and the availability of large data sets by means of the Internet have greatly increased the amount of data that must be managed by relatively small projects. Scientific...

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Murray GA, Crocker DP. Applying open-source software to laboratory data management. J Lab Autom. 2010;16(5):327-34doi: 10.1016/j.jala.2010.04.005.
Murray, G. A., & Crocker, D. P. (2011). Applying open-source software to laboratory data management. Journal of laboratory automation, 16(5), 327-34. https://doi.org/10.1016/j.jala.2010.04.005
Murray, Glenn A, and Crocker, David P. "Applying open-source software to laboratory data management." Journal of laboratory automation vol. 16,5 (2011): 327-34. doi: https://doi.org/10.1016/j.jala.2010.04.005
Murray GA, Crocker DP. Applying open-source software to laboratory data management. J Lab Autom. 2011 Oct;16(5):327-34. doi: 10.1016/j.jala.2010.04.005. Epub 2010 Jul 21. PMID: 21906558.
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Semi-parametric estimation in magnetic resonance spectroscopy: automation of the disentanglement procedure.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Rabeson H, Ratiney H, van Ormondt D, Graveron-Demilly D.
PMID: 18002043
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:662-5. doi: 10.1109/IEMBS.2007.4352377.

Semi-parametric disentanglement of parametric parts from non-parametric parts of a signal is a universal problem. This study concerns estimation of metabolite concentrations from in vivo Magnetic Resonance Spectroscopy (MRS) signals. Due to in vivo conditions, so-called macro-molecules contribute non-parametric...

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Rabeson H, Ratiney H, van Ormondt D, et al. Semi-parametric estimation in magnetic resonance spectroscopy: automation of the disentanglement procedure. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:662-5doi: 10.1109/IEMBS.2007.4352377.
Rabeson, H., Ratiney, H., van Ormondt, D., & Graveron-Demilly, D. (2007). Semi-parametric estimation in magnetic resonance spectroscopy: automation of the disentanglement procedure. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2007662-5. https://doi.org/10.1109/IEMBS.2007.4352377
Rabeson, H, et al. "Semi-parametric estimation in magnetic resonance spectroscopy: automation of the disentanglement procedure." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2007 (2007): 662-5. doi: https://doi.org/10.1109/IEMBS.2007.4352377
Rabeson H, Ratiney H, van Ormondt D, Graveron-Demilly D. Semi-parametric estimation in magnetic resonance spectroscopy: automation of the disentanglement procedure. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:662-5. doi: 10.1109/IEMBS.2007.4352377. PMID: 18002043.
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Mentalizing and Marr: an information processing approach to the study of social cognition.

Brain research

Mitchell JP.
PMID: 16473339
Brain Res. 2006 Mar 24;1079(1):66-75. doi: 10.1016/j.brainres.2005.12.113. Epub 2006 Feb 13.

To interact successfully, individuals must not only recognize one another as intentional agents driven primarily by internal mental states, but also possess a system for making reliable and useful inferences about the nature of those beliefs, feelings, goals, and...

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Mitchell JP. Mentalizing and Marr: an information processing approach to the study of social cognition. Brain Res. 2006;1079(1):66-75doi: 10.1016/j.brainres.2005.12.113.
Mitchell, J. P. (2006). Mentalizing and Marr: an information processing approach to the study of social cognition. Brain research, 1079(1), 66-75. https://doi.org/10.1016/j.brainres.2005.12.113
Mitchell, Jason P. "Mentalizing and Marr: an information processing approach to the study of social cognition." Brain research vol. 1079,1 (2006): 66-75. doi: https://doi.org/10.1016/j.brainres.2005.12.113
Mitchell JP. Mentalizing and Marr: an information processing approach to the study of social cognition. Brain Res. 2006 Mar 24;1079(1):66-75. doi: 10.1016/j.brainres.2005.12.113. Epub 2006 Feb 13. PMID: 16473339.
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Open-source software to conduct online rating studies.

Behavior research methods

Hirschfeld G, Bien H, de Vries M, Lüttmann H, Schwall J.
PMID: 20479185
Behav Res Methods. 2010 May;42(2):542-6. doi: 10.3758/BRM.42.2.542.

Several software programs exist to assist researchers in setting up online questionnaires. Existing tools are of little help for delivering online rating studies, for which it is often desirable to collect data from participants for only a subset of...

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Hirschfeld G, Bien H, de Vries M, et al. Open-source software to conduct online rating studies. Behav Res Methods. 2010;42(2):542-6doi: 10.3758/BRM.42.2.542.
Hirschfeld, G., Bien, H., de Vries, M., Lüttmann, H., & Schwall, J. (2010). Open-source software to conduct online rating studies. Behavior research methods, 42(2), 542-6. https://doi.org/10.3758/BRM.42.2.542
Hirschfeld, Gerrit, et al. "Open-source software to conduct online rating studies." Behavior research methods vol. 42,2 (2010): 542-6. doi: https://doi.org/10.3758/BRM.42.2.542
Hirschfeld G, Bien H, de Vries M, Lüttmann H, Schwall J. Open-source software to conduct online rating studies. Behav Res Methods. 2010 May;42(2):542-6. doi: 10.3758/BRM.42.2.542. PMID: 20479185.
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Signal conditioning with almost no multiplications via filter sharpening.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Holland A.
PMID: 18002018
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:561-5. doi: 10.1109/IEMBS.2007.4352352.

"Filter Sharpening" creates a filter network using the same computationally simple filter [1] or selections from a set of computationally simple filters [2]. Applications include high-quality signal conditioning using fixed-point arithmetic and only a handful of mostly add/subtract arithmetic...

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Holland A. Signal conditioning with almost no multiplications via filter sharpening. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:561-5doi: 10.1109/IEMBS.2007.4352352.
Holland, A. (2007). Signal conditioning with almost no multiplications via filter sharpening. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2007561-5. https://doi.org/10.1109/IEMBS.2007.4352352
Holland, Alexander. "Signal conditioning with almost no multiplications via filter sharpening." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2007 (2007): 561-5. doi: https://doi.org/10.1109/IEMBS.2007.4352352
Holland A. Signal conditioning with almost no multiplications via filter sharpening. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:561-5. doi: 10.1109/IEMBS.2007.4352352. PMID: 18002018.
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What Is the Distance Between Objects in a Data Set?: A Brief Review of Distance and Similarity Measures for Data Analysis.

IEEE pulse

Abou-Moustafa K.
PMID: 26978852
IEEE Pulse. 2016 Mar-Apr;7(2):41-7. doi: 10.1109/MPUL.2015.2513727.

Digitally recorded data have become another critical natural resource in our current research environment. This reality is one of the tremendous victories for decades of research in computer engineering, computer science, electronics, and communications. While this scenario will continue...

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Abou-Moustafa K. What Is the Distance Between Objects in a Data Set?: A Brief Review of Distance and Similarity Measures for Data Analysis. IEEE Pulse. 2016;7(2):41-7doi: 10.1109/MPUL.2015.2513727.
Abou-Moustafa, K. (2016). What Is the Distance Between Objects in a Data Set?: A Brief Review of Distance and Similarity Measures for Data Analysis. IEEE pulse, 7(2), 41-7. https://doi.org/10.1109/MPUL.2015.2513727
Abou-Moustafa, Karim. "What Is the Distance Between Objects in a Data Set?: A Brief Review of Distance and Similarity Measures for Data Analysis." IEEE pulse vol. 7,2 (2016): 41-7. doi: https://doi.org/10.1109/MPUL.2015.2513727
Abou-Moustafa K. What Is the Distance Between Objects in a Data Set?: A Brief Review of Distance and Similarity Measures for Data Analysis. IEEE Pulse. 2016 Mar-Apr;7(2):41-7. doi: 10.1109/MPUL.2015.2513727. PMID: 26978852.
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Introduction to the special issue: Data Part 2: Experimental Data.

Journal of computer-aided molecular design

Kramer C, Chodera J, Stouch T.
PMID: 26428512
J Comput Aided Mol Des. 2015 Sep;29(9):777. doi: 10.1007/s10822-015-9874-z. Epub 2015 Oct 01.

No abstract available.

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Kramer C, Chodera J, Stouch T. Introduction to the special issue: Data Part 2: Experimental Data. J Comput Aided Mol Des. 2015;29(9):777doi: 10.1007/s10822-015-9874-z.
Kramer, C., Chodera, J., & Stouch, T. (2015). Introduction to the special issue: Data Part 2: Experimental Data. Journal of computer-aided molecular design, 29(9), 777. https://doi.org/10.1007/s10822-015-9874-z
Kramer, Christian, et al. "Introduction to the special issue: Data Part 2: Experimental Data." Journal of computer-aided molecular design vol. 29,9 (2015): 777. doi: https://doi.org/10.1007/s10822-015-9874-z
Kramer C, Chodera J, Stouch T. Introduction to the special issue: Data Part 2: Experimental Data. J Comput Aided Mol Des. 2015 Sep;29(9):777. doi: 10.1007/s10822-015-9874-z. Epub 2015 Oct 01. PMID: 26428512.
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Showing 1 to 12 of 25 entries