openmedical/registry
← registry

NSF4SL

imported

therapeutics/nsf4sl

NSF4SL is a negative-sample-free model for prediction of synthetic lethality (SL) based on a self-supervised contrastive learning framework.

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

NSF4SL project image
GitHub preview card for JieZheng-ShanghaiTech/NSF4SL. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/JieZheng-ShanghaiTech/NSF4SL
Documentation
unknown
Tags
contrastive-learning · data-science · deep-learning · drug-discovery · drug-target-prioritization · synthetic-lethality
Regulatory
unknown
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.

  • SL_benchmarkdrug-discovery · synthetic-lethality

    Benchmarking study of machine learning methods for prediction of synthetic lethality

  • clampcontrastive-learning · drug-discovery

    Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

  • CLIPncontrastive-learning · drug-discovery

    A contrastive learning approach for integration of high-content screens

  • contrastive-brain-age-predictioncontrastive-learning

    Code for the paper "Contrastive learning for regression in multi-site brain age prediction" | ISBI 2023 https://doi.org/10.1109/ISBI53787.2023.10230733

  • NICE-EEGcontrastive-learning

    [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.

  • papagei-foundation-modelcontrastive-learning

    (ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals

sources
  1. api.github.com/repos/JieZheng-ShanghaiTech/NSF4SL
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-02-11, 5 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/3.json→ .entries["nsf4sl"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.