This project stores the data, scripts, citation and links which describe the source and transformations on externally produced data which is added to the Human TF Network project
see data/FANTOM5
https://fantom.gsc.riken.jp/5/datafiles/reprocessed/hg38_latest/
The FANTOM Consortium and the RIKEN PMI and CLST (DGT). A promoter-level mammalian expression atlas. Nature 507, 462–470 (2014). https://doi.org/10.1038/nature13182
Andersson, R., Gebhard, C., Miguel-Escalada, I. et al. An atlas of active enhancers across human cell types and tissues. Nature 507, 455–461 (2014). https://doi.org/10.1038/nature12787
Erik Arner et al., Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells.Science347,1010-1014(2015).DOI:10.1126/science.1259418
see data/Marbach
Marbach D, Lamparter D, Quon G, Kellis M, Kutalik Z, Bergmann S: Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases. Nat Methods 2016, 13(4):366-370. https://doi.org/10.1038/nmeth.3799
see data/PANDA
Sonawane AR, Platig J, Fagny M, Chen C-Y, Paulson JN, Lopes-Ramos CM, DeMeo DL, Quackenbush J, Glass K, Kuijjer ML: Understanding Tissue-Specific Gene Regulation. Cell Reports 2017, 21(4):1077-1088. https://doi.org/10.1016/j.celrep.2017.10.001
see scripts/remap_labels
see scripts/expression_filtering
see scripts/lasso
see scripts/bart
Scripts for preprocessing, modeling, and predictions using XGBoost. see
metanet_modeling
see scripts/PANDA_subsetting
see scripts/evaluation/network_quality/ for network quality evaluation
scripts.
GO and GO-directness evaluation were done using BrentLab/NET-evaluation.
see scripts/evaluation/tissue_specificity
see scripts/notebooks for jupyter notebooks of interpreting evaluation
results.
see scripts/fishnet