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Related Concept Videos

Encoding01:19

Encoding

Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
Sensory Modalities01:15

Sensory Modalities

Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
Stereotype Content Model02:16

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the stimulus...
Olfaction01:25

Olfaction

The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
Parseval's Theorem01:18

Parseval's Theorem

Parseval's theorem is a fundamental concept in signal processing and harmonic analysis. It asserts that for a periodic function, the average power of the signal over one period equals the sum of the squared magnitudes of all its complex Fourier coefficients. This theorem, named after Marc-Antoine Parseval, provides a powerful tool for analyzing the energy distribution in signals.
Interestingly, Parseval's theorem also holds for the trigonometric form of the Fourier series, which expresses a...

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Related Experiment Videos

SENT: semantic features in text.

Miguel Vazquez1, Pedro Carmona-Saez, Ruben Nogales-Cadenas

  • 1Software Engineering Department, Complutense University and Biocomputing Unit, National Center for Biotechnology, CNB-CSIC, Madrid, Spain.

Nucleic Acids Research
|May 22, 2009
PubMed
Summary
This summary is machine-generated.

SENT (semantic features in text) is a new tool that uses literature analysis to group and summarize genes based on biological topics. It helps researchers understand experimental data and underlying biological mechanisms.

Related Experiment Videos

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Interpreting large-scale experimental data, such as gene expression profiles, requires robust methods for identifying biological themes.
  • Understanding the functional relationships between genes and their roles in biological mechanisms is crucial for biological discovery.

Purpose of the Study:

  • To present SENT (semantic features in text), a novel functional interpretation tool for analyzing scientific literature.
  • To enable researchers to group and summarize genes based on identified topics from scientific articles.
  • To provide context for experimental data analysis by ranking and exploring relevant literature.

Main Methods:

  • Utilizes Non-negative Matrix Factorization (NMF) for topic identification within a corpus of scientific articles.
  • Applies identified topics to group and summarize collections of genes or their products.
  • Offers functionalities to rank and explore articles associated with specific topics.

Main Results:

  • SENT successfully identifies and summarizes biological topics related to gene sets.
  • The tool facilitates the contextualization of experimental data by linking genes to relevant literature.
  • Provides a user-friendly web interface and programmatic access via a SOAP web server.

Conclusions:

  • SENT serves as a valuable exploratory tool for interpreting experimental data and understanding complex biological mechanisms.
  • The tool enhances biological discovery by leveraging semantic features in scientific text.
  • Facilitates efficient gene set enrichment analysis and literature-based interpretation.