DeKegel

paralog_SL_prediction

Code for prediction of synthetic lethality between paralog pairs

coessentiality

Companion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)

dekegel.github.io

mnnpy

An implementation of MNN (Mutual Nearest Neighbors) correct in python.

paralog_essentiality

Analysis of the link between paralog buffering and variable paralog essentiality

paralog_HDs

Code for analysis of paralog vs. singleton passenger HDs

chronos

Modeling of time series data for CRISPR KO experiments

celligner

tumor - cancer cell line alignment. Use it on the depmap portal or install it with pip.

KBoost

KBoost: A package to infer gene regulatory networks from gene expression data

blobcast

DeKegel/paralog_HDs

Code for analysis of paralog vs. singleton passenger HDs

DeKegel/mnnpy

An implementation of MNN (Mutual Nearest Neighbors) correct in python.

DeKegel/coessentiality

Companion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)

DeKegel/paralog_SL_prediction

Code for prediction of synthetic lethality between paralog pairs

DeKegel/paralog_essentiality

Analysis of the link between paralog buffering and variable paralog essentiality

DeKegel/dekegel.github.io