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ai-for-drug-discovery

Ho Lab collection of resources on AI for drug discovery

alcohol_support_chatbot

cellchat

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data

d24h-ausculto-website

distributed-spark-2018

Youtube video trending statistics analytics using cloud computing framework PySpark

exposome-nlp-2016

hkchallengeplus_intellicell

9th HK Challenge Plus

hyperturbbed-idendron

hyperturbedd

A website for Hyperturbedd

interferome

The Interferome is a database of IFN regulated genes published in 2009 (Interferome.org; Samarajiwa et al., Nucleic Acids Res. 37, 852). This represents the initial stages in capture and integration of IFN treated microarray datasets, incorporating over 40 published and internally generated microarray datasets. This approach enables identification of interferon regulated gene sets in many biologically diverse high throughput microarray experiments.

interferome-2016

This is a working copy of Interferome from Angela

lazypet

ml-spark-2018

Implementation of machine learning algorithm K-nearest Neighbour with Spark framework

ml-tsne-2018

A AngularJS based web app for genomics data visualisation using machine learning algorithm i.e. tSNE (t-Distributed Stochastic Neighbor Embedding) of high-dimentional single cell data using dimensionality reduction

neuralnet-cnn-2018

Convolutional neural net trained with VGG16 framework

neuralnet-mlp-2018

Optimization and regularization added

scopeplus

Scope+: An open source generalizable architecture for single-cell atlases at sample and cell levels

scopeplus-scripts

Data preprocessing and benchmarking scripts for Covidscope

scopeplus-user-tutorial

survey_ai_drug_discovery

vulture-user-tutorial

tutorial for vulture user