Dcas89's Stars
AstraZeneca/ConvCaps-DR
Tensorflow-Keras implementation of deep Convolutional Capsule Networks with Dynamic Routing algorithm
AstraZeneca/awesome-drug-discovery-knowledge-graphs
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge graph perspective" (Briefings in Bioinformatics, 2022)
AstraZeneca/StarGazer
StarGazer is a tool designed for rapidly assessing drug repositioning opportunities. It combines multi-source, multi-omics data with a novel target prioritization scoring system in an interactive Python-based Streamlit dashboard. StarGazer displays target prioritization scores for genes associated with 1844 phenotypic traits.
AstraZeneca/kgem-in-drug-discovery
Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence in the Life Sciences, 2022)
AstraZeneca/Multimodal_NSCLC
multi-omics data integration helps improving patient survival prediction. We provide a pipeline allowing for early integration of multiple omics plus clinical modalities in order to predict patient survival for NSCLC. The pipeline utilizes autoencoders, and helps identify main driving factor in survival prediction
AstraZeneca/onto_merger
OntoMerger is an ontology alignment library for deduplicating knowledge graph nodes that represent the same domain.
AstraZeneca/SubTab
The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
AstraZeneca/rexmex
A general purpose recommender metrics library for fair evaluation.
AstraZeneca/chemicalx
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
AstraZeneca/kallisto
Efficiently calculate 3D-features for quantitative structure-activity relationship approaches.
AstraZeneca/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
PacktPublishing/Python-Data-Analysis-Third-Edition
Python Data Analysis, Third Edition, Published by Packt
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
gersteinlab/DeepVelo