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SignalForge / DeepCOP LNCaP Dataset

Companion data for the SignalForge translational analytics platform.

Sourced from the DeepCOP project (Moo et al., 2019 — PMID 31504186).

Files

File Description
phase1_compounds_morgan_2048.csv LINCS Phase 1 compound Morgan-2048 fingerprints (159 MB)
phase2_compounds_morgan_2048.csv LINCS Phase 2 compound Morgan-2048 fingerprints (14 MB)
DESeq2results.rar LNCaP DESeq2 differential expression results archive
phase1_compounds_morgan_2048.rar Phase 1 fingerprints archive
phase2_compounds_morgan_2048.rar Phase 2 fingerprints archive

Download in Python

from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="YOUR_HF_USERNAME/signalforge-deepcop",
    filename="phase1_compounds_morgan_2048.csv",
    repo_type="dataset",
    local_dir="ml/data/raw/deepcop",
)

Citation

@article{moo2019deepcop,
  title={DeepCOP: Deep Learning-Based Approach to Predict Gene Regulating Effects
         of Small Molecules},
  author={Moo, Kang and others},
  journal={Bioinformatics},
  year={2019},
  doi={10.1093/bioinformatics/btz749}
}
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