Biomedical Network Science Lab
The BIONETS lab at the Department AIBE of FAU Erlangen-Nürnberg, headed by Prof. Dr. David B. Blumenthal.
Erlangen, Germany
Pinned Repositories
ALS_MELC_Data_Analysis
COVID19-surya
digest-py
Python package for DIGEST
grn-confounders
Assessing effect of sex, age, and ethnicity confounders on GRN and co-expression network inference
grn-nextflow
Boostdiff workflow
python-intro
Introduction to Python
robust
ROBUST: Robust disease module mining via enumeration of price-collecting Steiner trees
robust-web
sgGSEA
Network-based single-gene gene set enrichment analysis
xml_melc_melanoma
Master's thesis Anna Möller
Biomedical Network Science Lab's Repositories
bionetslab/python-intro
Introduction to Python
bionetslab/robust
ROBUST: Robust disease module mining via enumeration of price-collecting Steiner trees
bionetslab/ALS_MELC_Data_Analysis
bionetslab/grn-confounders
Assessing effect of sex, age, and ethnicity confounders on GRN and co-expression network inference
bionetslab/grn-nextflow
Boostdiff workflow
bionetslab/robust-web
bionetslab/sgGSEA
Network-based single-gene gene set enrichment analysis
bionetslab/xml_melc_melanoma
Master's thesis Anna Möller
bionetslab/COVID19-surya
bionetslab/ENQUIRE-WEB
bionetslab/robust_bias_aware
Study-bias-aware, robust disease module mining
bionetslab/ctcl_case_study
bionetslab/digest
bionetslab/digest-api
bionetslab/digest-web
bionetslab/ENQUIRE-MACOS
bionetslab/enquire_web
Web tool extension for the ENQUIRE gene-mesh term PubMed mining application
bionetslab/Gentl
Gentl (GENeTic aLgorithm for predicting stage and grade from medical scans of patients with cancer)
bionetslab/grn-benchmark
Auxiliary information for grn-benchmark.
bionetslab/grn-benchmark-meta
bionetslab/KINference
bionetslab/KINference-Evaluation-Scripts
bionetslab/melc_imaging_spatial_proteomics
bionetslab/PARADYS
bionetslab/PARADYS_Validation
bionetslab/ppi-network-simulation
Simulates emergence of observed PPI networks under study bias
bionetslab/robust-package
bionetslab/robust_bias_aware_pip_package
A python package for ROBUST disease module mining algorithm with study bias correction via the incorporation of bias-aware edge costs.
bionetslab/SHouT
Spatial heterogeneity quantification tool
bionetslab/TCL-project