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Related Concept Videos

Structures of Solids02:22

Structures of Solids

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Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
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Lipids include a diverse group of compounds that are largely nonpolar in nature. This is because they are hydrocarbons that include mostly nonpolar carbon-carbon or carbon-hydrogen bonds. Non-polar molecules are hydrophobic (“water fearing”), or insoluble in water. Lipids perform many different functions in a cell. Cells store energy for long-term use in the form of fats. Lipids also provide insulation from the environment for plants and animals. For example, they help keep aquatic...
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Animal and plant cells not only differ in their structure, function, and mode of nutrition but also in how they reproduce, specialize, and organize into complex structures.
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Viruses are extraordinarily diverse in shape and size, but they all have several structural features in common. All viruses have a core that contains a DNA- or RNA-based genome. The core is surrounded by a protective coat of proteins called the capsid. The capsid is composed of subunits called capsomeres. The capsid and genome-containing core are together known as the nucleocapsid.
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Related Experiment Video

Updated: Jan 23, 2026

Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
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Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing

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Structure-preserving visualisation of high dimensional single-cell datasets.

Benjamin Szubert1, Jennifer E Cole2, Claudia Monaco2

  • 1Bering Limited, London, United Kingdom.

Scientific Reports
|June 22, 2019
PubMed
Summary
This summary is machine-generated.

We developed ivis, a new framework for single-cell data analysis. This tool effectively visualizes complex cellular data, preserving structure and scaling efficiently for large datasets.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Genomics

Background:

  • Single-cell technologies enable detailed characterization of cellular heterogeneity.
  • Analyzing high-dimensional single-cell data presents significant visualization and interpretation challenges.

Purpose of the Study:

  • To introduce ivis, a novel framework for dimensionality reduction of single-cell expression data.
  • To provide a scalable and effective tool for visualizing complex single-cell datasets.

Main Methods:

  • Utilized a siamese neural network architecture.
  • Employed a novel triplet loss function for training.
  • Developed a parametric mapping function for adding new data points.

Main Results:

  • ivis preserves global data structures in a low-dimensional space.
  • The framework successfully adds new data points to existing embeddings.
  • Demonstrated linear scalability to hundreds of thousands of cells.

Conclusions:

  • ivis offers an effective solution for dimensionality reduction and visualization of single-cell expression data.
  • The framework is scalable and preserves essential data structures.
  • ivis is available via Python and R interfaces, facilitating broader adoption in research.