Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

DeepLC is a retention time predictor for (modified) peptides that employs Deep Learning. It’s strength lies in the fact that it can accurately predict retention times for modified peptides, even if hasn’t seen said modification during training.

DeepLC can be run with a graphical user interface (GUI) or as a Python package. In the latter case, DeepLC can be used from the command line, or as a python module.

Metadata

Release files for deeplc 0.1.1-dev2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for deeplc 0.1.1-dev2
File Size Uploaded Provenance Actions
deeplc-0.1.1-dev2.tar.gz 29.3 MB Without provenance Details for deeplc-0.1.1-dev2.tar.gz

Release files / deeplc-0.1.1-dev2.tar.gz

Download URL deeplc-0.1.1-dev2.tar.gz
Size 29.3 MB
Tags Source
SHA-256 checksum
How to use checksums
144d1d08e537cb4e58975f7748d9f636fbd41d174cb60980382fb7e74064f1e2
BLAKE2b-256 checksum
How to use checksums
82d1003bdf0ae5fc6f675d080094299430ca79b6be3589a0297b413e23a86144
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.5

Security for deeplc 0.1.1-dev2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page