korem-lab

Pinned Repositories

2023_Metamobilome
Language:Python0 1 00
DEBIAS-M
Language:Python2 3 20
LPOCV-bias-analysis
Analysis support the manuscript "Distributional bias compromises leave-one-out cross-validation"
Language:Python0 1 00
mantis
Mantis: A Fast, Small, and Exact Large-Scale Sequence-Search Index
Language:C++0 1 00
MOMs-PI_microdiversity_2023
Language:Jupyter Notebook2 1 01
PTB_Metabs_2021
Language:Python0 1 01
pymgpipe
Python implementation of mgpipe
Language:JetBrains MPS7 2 30
RebalancedCV
Language:Python20
SGVFinder2
Language:Python6 3 221
v1-DEBIAS-M-Analysis
Language:Jupyter Notebook0 1 00

korem-lab's Repositories

korem-lab/pymgpipe
Python implementation of mgpipe
Language:JetBrains MPS7 2 30
korem-lab/SGVFinder2
Language:Python6 3 221
korem-lab/DEBIAS-M
Language:Python2 3 20
korem-lab/MOMs-PI_microdiversity_2023
Language:Jupyter Notebook2 1 01
korem-lab/RebalancedCV
Language:Python20
korem-lab/2023_Metamobilome
Language:Python0 1 00
korem-lab/LPOCV-bias-analysis
Analysis support the manuscript "Distributional bias compromises leave-one-out cross-validation"
Language:Python0 1 00
korem-lab/mantis
Mantis: A Fast, Small, and Exact Large-Scale Sequence-Search Index
Language:C++0 1 00
korem-lab/PTB_Metabs_2021
Language:Python0 1 01
korem-lab/v1-DEBIAS-M-Analysis
Language:Jupyter Notebook0 1 00
korem-lab/compositional-empty-features
Analysis of our manuscript entitled "Compositional transformations can reasonably introduce phenotype-associated values in sparse features"
Language:Jupyter Notebook2 0