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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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