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Uncertainty in Measurement: Accuracy and Precision03:37

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Data Reporting and Recording01:24

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How Data are Classified: Categorical Data01:11

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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How Data are Classified: Numerical Data00:59

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
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Revolucionando la oncología de precisión a través de la proteogenómica colaborativa y el intercambio de datos

Henry Rodriguez1, Stephen R Pennington2

  • 1Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.

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|April 21, 2018
PubMed
Resumen
Este resumen es generado por máquina.

La integración proteómica en la oncología de precisión puede transformar el análisis molecular del cáncer. La colaboración internacional y el intercambio de datos son fundamentales para el avance de la medicina de precisión multiómica para diversas poblaciones.

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Área de la Ciencia:

  • En el campo de la oncología
  • Proteomía
  • La genómica
  • Medicina multiómica

Sus antecedentes:

  • La oncología de precisión tiene como objetivo adaptar el tratamiento del cáncer a los perfiles moleculares individuales.
  • La proteómica ofrece una comprensión más profunda de la biología del cáncer más allá de la genómica.
  • Las investigaciones actuales ponen de relieve la necesidad de enfoques integrados multimodales.

Objetivo del estudio:

  • Discutir el potencial transformador de la integración de la proteómica en la oncología de precisión.
  • Hacer hincapié en el papel de la colaboración internacional y el intercambio de datos para avanzar en la investigación del cáncer.
  • Destacar la importancia de la medicina de precisión multiómica para hacer frente a la diversidad mundial del cáncer.

Principales métodos:

  • Este comentario sintetiza el conocimiento y las perspectivas actuales sobre la proteómica en oncología.
  • Se discuten los principios y las ventajas de la integración de datos multi-ómicos.
  • Se inspira en iniciativas como el Cancer Moonshot para la investigación colaborativa.

Principales resultados:

  • La integración proteómica promete revolucionar el análisis molecular del cáncer.
  • Es posible lograr un progreso acelerado en la investigación básica y clínica del cáncer.
  • Abordar la diversidad mundial del cáncer requiere un enfoque multifacético.

Conclusiones:

  • La sinergia de la proteómica y la oncología de precisión es crucial para el futuro tratamiento del cáncer.
  • La colaboración internacional y el intercambio abierto de datos son esenciales para avances rápidos.
  • La medicina de precisión multiómica ofrece un camino hacia un tratamiento equitativo y eficaz del cáncer en todo el mundo.