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adrtarget

Machine learning guided association of adverse drug reactions with in vitro off-target pharmacology

ambulance_relocation_dispatching

ARD simulation using AI problem solving search methods

awesome-expression-browser

😎 A curated list of software and resources for exploring and visualizing (browsing) expression data 😎

biomarker-discovery

Extracting significant subnetwork markers using a novel Game Theoretic Approach

cie-r-package

Causal Inference and Directional Enrichment Methods on Biological Networks

cmappy

Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools

crater_detection_cnn_tf

The main objective of this project is to train a Convolution Neural Network for recognizing and distinguishing craters on Martian surface images

deeppath

Classification of Lung cancer slide images using deep-learning

dfply

dplyr-style piping operations for pandas dataframes

gbnet

A Bayesian Networks approach for infering active Transcription Factors using logic models of transcriptional regulation

gmm_hadoop

Gaussian Mixture Model implementation with Hadoop and Map-Reduced programming

gta

A Cytoscape plugin for finding cancer related modules on a regulatory network.

her2_prediction

Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer

histopathology-stain-color-normalization

Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images

ifx_therapy_response

modex

A text mining system for extracting mode of regulation of Transcription Factor-gene regulatory interaction

monet

MONET : MOdularising NEtwork Toolbox - https://doi.org/10.1093/bioinformatics/btaa236

network_evaluation_tools

Python 2.7 package with examples for evaluating a network's ability to group a given node set in network proximity.

pyentrezid

Converts Ensembl, Uniprot, and HGNC IDs to Entrez Gene Id

sclvm

scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources of variation.

spam_filtering

Build a spam filtering classifier using Bayesian classifier

tfrecord_utility

Generate and view TensorFlow's TFRecord file.