Merck Sharp & Dohme Corp. a subsidiary of Merck & Co., Inc.

BioPhi

BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluation (OASis) and an interface for computer-assisted antibody sequence design.

deepbgc

BGC Detection and Classification Using Deep Learning

Halyard

Halyard is an extremely horizontally scalable Triplestore with support for Named Graphs, designed for integration of extremely large Semantic Data Models, and for storage and SPARQL 1.1 querying of the whole Linked Data universe snapshots.

r2rtf

Easily Create Production-Ready Rich Text Format (RTF) Table and Figure

matcher

Matcher is a tool for understanding how chemical structure optimization problems have been solved. Matcher enables deep control over searching structure/activity relationships (SAR) derived from large datasets, and takes the form of an accessible web application with simple deployment. Matcher is built around the mmpdb platform.

Sapiens

Sapiens is a human antibody language model based on BERT.

pkglite

Compact Package Representations

AlgebraicAgents.jl

A lightweight framework to enable hierarchical, heterogeneous dynamical systems co-integration. Batteries included!

ReactiveDynamics.jl

A Julia package that implements a category of reaction (transportation) network-type dynamical systems.

gsDesign2

Group Sequential Design Under Non-Proportional Hazards

metalite.ae

An R package for standard adverse events analysis

BioPhi-2021-publication

This repository contains scripts, data and jupyter notebooks used to produce the evaluation results in the BioPhi 2021 publication

simtrial

Clinical trial simulation for time-to-event endpoints

metalite

An R package to create metadata structure for ADaM data analysis and reporting

boxly

Interactive box plot for clinical trial analysis

forestly

Interactive forest plot for adverse events analysis

mRNAid

gMCPLite

Lightweight graph-based multiple comparison procedures

matcher-mmpdb

gsdmvn

The goal of gsdmvn is to enable group sequential trial design for time-to-event endpoints under non-proportional hazards assumptions.

TraceTrack

polo

POLO: web interface to MARCO-scored crystallization images

3D_Tumor_Lightsheet_Analysis_Pipeline

bayesiansprt

The goal of bayesiansprt (under GPL-3 license) is to provide the results for sequential probability ratio test under frequentist and Bayesian setup.

wpgsd

Weighted parametric group sequential design

bards-aactreveal

Provides tools for extracting and querying data from the AACT (Aggregate Content of ClinicalTrials.gov) database for subsequent analyses.

ChemicalSpaceGeneration

FPFN

maicplus

skorch

A scikit-learn compatible neural network library that wraps PyTorch