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Related Concept Videos

Bias01:22

Bias

Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Hindsight Biases01:12

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
Confirmation Biases01:31

Confirmation Biases

The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
Self-Serving Bias01:29

Self-Serving Bias

Self-serving bias is a cognitive phenomenon in which individuals attribute positive outcomes to internal factors such as their abilities, intelligence, or effort while attributing negative outcomes to external circumstances. This cognitive distortion helps maintain self-esteem but can also impede objective self-assessment.Theoretical Explanations of Self-Serving BiasTwo primary theories explain the self-serving bias: the cognitive explanation and the motivational explanation.The cognitive...
The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:
Quantifying Work02:30

Quantifying Work

As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.

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Related Experiment Video

Updated: May 12, 2026

Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

Q&A: Paul Workman on big data and large biases.

Paul Workman

    Cancer Discovery
    |April 13, 2013
    PubMed
    Summary

    Integrating genomic, biological, and chemical big data holds immense promise for advancing cancer research. This approach can accelerate the development of novel cancer therapeutics and personalized treatment strategies.

    Area of Science:

    • Oncology
    • Bioinformatics
    • Computational Biology

    Background:

    • The Institute of Cancer Research (ICR) is exploring the integration of diverse datasets for cancer research.
    • Paul Workman, deputy chief executive and director of the Cancer Research UK Cancer Therapeutics Unit, highlights this initiative.

    Discussion:

    • The convergence of genomic, biological, and chemical data offers unprecedented opportunities.
    • Leveraging "Big Data" analytics is crucial for uncovering complex cancer mechanisms.
    • This interdisciplinary approach aims to enhance drug discovery and development pipelines.

    Key Insights:

    • Genomic data provides insights into tumor mutations and genetic vulnerabilities.
    • Biological data elucidates cellular pathways and disease progression.

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    Microbial Communities in Nature and Laboratory - Interview
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    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

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  • Chemical data aids in identifying potential drug candidates and understanding drug interactions.

    • Outlook:

    • Future cancer research will increasingly rely on integrated data analysis.
    • This strategy is expected to personalize cancer treatments and improve patient outcomes.
    • Continued advancements in "Big Data" technologies will further revolutionize oncology.