Leiserson Research Group

sigma

SigMa is a probabilistic model for the sequential dependencies of mutation signatures

multifactorial-immune-response

Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features

munk

A MUlti-species Network Kernel algorithm to embed proteins from a target network into a source network, creating cross-species representations for various comparative and predictive tasks

ardnmf

A Python 3 implementation of automatic-relevance determination NMF (Tan & Fevotte 2013) based on their original implementation

scalpelsig

EMF

explosig-data

Data processing for ICGC mutation data

signature-estimation-py

Implementation of the SignatureEstimation quadratic programming algorithm in Python

CENPA-SDL

Uses DepMap datasets and tumor data to identify SDL partners of CENPA. In collaboration with the Basrai Group at NCI.

explosig

ExploSig: web-based interactive visualization of mutation signatures and somatic mutation data

mutation-signatures-viz

Mutation signature visualizations

tcsm

Tumor Covariate Signature Model

explosig-connect

explosig-docker

Repository to facilitate easy local deployment of ExploSig

explosig-server

Server-side component of ExploSig web app

gi-data

homologene

A small pipeline to extract homologs from Homologene

HubAlign

lrgr.github.io

Leiserson Research Group Website

Mix-MMM

superdendrix-explorer

superdendrix-explorer-data

Data processing and deployment for the SuperDendrix Explorer