• Functional Genomics data
    • Experiment search
    • Experiment matrix
    • ChIP-seq matrix
    • Human and mouse body maps
    • Functional genomics series
    • Single-cell experiments
    • Functional Characterization data
    • Experiment search
    • Experiment matrix
    • Cloud Resources
    • AWS Open Data
    • Collections
    • RNA-protein interactions (ENCORE)
    • Epigenomes from four individuals (ENTEx)
    • Rush Alzheimer’s disease study
    • Stem cell differentiation
    • Deeply profiled cell lines
    • Human donor matrix
    • Immune cells
    • Human reference epigenomes
    • Mouse reference epigenomes
    • Mouse development matrix
    • Protein knockdown (Degron)
    • Search by region
    • Publications
    • RNA-Get (gene expression)
    • About
    • Visualize (SCREEN)
    • Encyclopedia browser
    • Search
    • Methods
    • Antibodies
    • Genome references
    • Assays and standards
    • Glossary
    • File formats
    • Software tools
    • Pipelines
    • Data organization
    • Release policy
    • Schemas
    • Using the portal
    • Cart
    • REST API
    • Citing ENCODE
    • FAQ
    • Project Overview
    • Collaborations
    • ENCODE workshops
    • About the DCC
    • Listed carts
  1. Software

apricot

Status
released
Title
apricot
Description
apricot implements submodular optimization for the purpose of summarizing massive data sets into minimally redundant subsets that are still representative of the original data. These subsets are useful for both visualizing the modalities in the data and for training accurate machine learning models with just a fraction of the examples and compute.
Used for
community resource
  • Citing ENCODE
  • Privacy
  • Contact
  • Sign in / Create account
  • ENCODE
  • Stanford University
  • Creative Commons

©2025 Stanford University