List2Net: Linking multiple lists of biological data in a network context.

ABSTRACT:

Motivation

A common task in scientific research is the comparison of lists or sets of diverse biological entities such as biomolecules, ontologies, sequences and expression profiles. Such comparisons rely, one way or another, on calculating a measure of similarity either by means of vector correlation metrics, set operations such as union and intersection, or specific measures to capture, for example, sequence homology. Subsequently, depending on the data type, the results are often visualized using heatmaps, Venn, Euler, or Alluvial diagrams. While most of the abovementioned representations offer simplicity and interpretability, their effectiveness holds only for a limited number of lists and specific data types. Conversely, network representations provide a more versatile approac

SUBMITTER: Afxenti S 

PROVIDER: S-EPMC10698566 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature