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3d_tumor_lightsheet_analysis_pipeline

ablef

Antibody Langauge Ensemble Fusion - fuses antibody structural ensemble and language representation for property prediction

abprop

abvax_manuscript

algebraicagents.jl

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

app-config

apps-spring-cloud-services-labs

bards-aactreveal

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

bart-qsar

bayesiansprt

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

bgc-pipeline

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.

biophi-2021-publication

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

boxly

Interactive box plot for clinical trial analysis

ceedesigns.jl

A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.

chemicalspacegeneration

compoundcomplexity

This is an implementation of Compound Complexity for use in the SMART-PMI as described by Sherer et al. It contains derived training data as required by the described Random Forest Model in order to replicate data presented in paper as well as applying to novel data.

curation-open-source

This wrapper enables the HPC execution of FDA DB curation and list all the step in a programming language style.

data-profiler

deepbgc

BGC Detection and Classification Using Deep Learning

deepneuralnet-qsar

deker

This library is made to perform feature selection based on a method originally proposed in by Sun et al. [1]. This library specifically relates to the methodology described in [2], named DEKER for decomposed kernel regression, which includes methods for identifying optimal hyperparameter values. This library was also designed for use in the context of network inference, also described in [2], by iteratively reapplying the DEKER method for feature selection across all features of a dataset.

dtedit

Editable DataTables for shiny apps

forestly

Interactive forest plot for adverse events analysis

fpfn

generatedexpressions.jl

A Julia package that implements a metalanguage to support expression comprehensions.

gmcplite

Lightweight graph-based multiple comparison procedures

gmcpshiny

A Shiny app for graphical multiplicity control

gonogo

gsdesign2

Group Sequential Design Under Non-Proportional Hazards