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DeepRTplus

imported

software/deeprtplus

Deep (Transfer) Learning for Peptide Retention Time Prediction

Machine-generated from the listed sources and not yet reviewed by a human.

DeepRTplus project image
GitHub preview card for horsepurve/DeepRTplus. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
analytical-chemistry · bioinformatics · capsule-network · deep-learning · peptides · proteomics
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • LCMSpectoranalytical-chemistry · proteomics

    📊 User-friendly mass spectrometry and chromatography data analysis app with native UI, graphing, quantification, MS/MS and data export capabilities

  • peptacularbioinformatics · peptides · proteomics

    A Python package for peptide sequence analysis built around ProForma 2.1 notation. Calculate masses, generate fragments, predict isotopic patterns, and more.

  • 3D-UCapscapsule-network

    3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)

  • CapsNetcapsule-network

    Deep fMRI Encoding Models of Human Vision using Capsule Networks

  • mass_spectraanalytical-chemistry · bioinformatics

    Mass spectral libraries search tool (MSL-ST), used to enhance organic compounds' identification

  • DeepLCpeptides · proteomics

    DeepLC: Retention time prediction for peptides carrying any modification.

sources
  1. api.github.com/repos/horsepurve/DeepRTplus
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2021-09-17, 53 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/41.json→ .entries["deeprtplus"]

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