Other names: deepkg
An End-to-End Deep Learning-Based Workflow for Biomedical Knowledge Graph Extraction, Optimization and Applications.
workflows natural language processing
Literature-mined resource for drivers, oncogenes and tumor suppressors in cancer.
Model Zoo curates and provides a platform for deep learning researchers to easily find pre-trained models for a variety of platforms and uses.
CIViCmine is a literature-mined database of clinically relevant cancer biomarkers from data from PubMed and Pubmed Central Open Access subset.
Data, Optimization, Model and Evaluation in Machine Learning (DOME-ML, or DOME) is a set of community-wide guidelines, recommendations and checklists spanning these four areas aiming to help establish ...
a set of metadata to record transformative machine learning experiments with LINCS dataset
The machine learning methodology taxonomy mapping project is focused on gathering the terminology focused on machine learning and mapping the controlled and users' natural language to form a mapping f ...
We aim to establish a reliable diagnostic tool based on a deep-learning framework for the screening of patients who present with COVID-19 related abnormalities on chest x-rays.
The Open Machine Learning project is an inclusive movement to build an open, organized, online ecosystem for machine learning. We build open source tools to discover (and share) open data from any dom ...
DESSO is a deep learning-based framework that can be used to accurately identify both sequence and shape regulatory motifs from the human genome.
Deep Learning for Ultrasound Image Formation. Ultrasound Beamforming with Deep Learning (CUBDL): Evaluation Framework and Open Datasets
CONSORT-TM is a corpus annotated with CONSORT checklist items, and studied baseline sentence classification methods as well as their combinations to recognize a subset of these items.
The Center for Expanded Data Annotation and Retrieval (CEDAR) Workbench is a database of metadata templates that define the data elements needed to describe particular types of biomedical experiments. ...
A machine learning-based phosphorylation sites prediction tool for Plasmodium proteins.
An Open Access Knowledge Base for Microbial Natural Products Discovery. The Natural Products Atlas Network views of chemical space. The Natural Products Atlas provides a unique tools for exploring n ...
Knowledge database for the automated curation and multidimensional analysis of molecular signatures in gastrointestinal (GI) cancer.
COVID-19-CT-CXR is a public database of COVID-19 CXR and CT images, which are automatically extracted from COVID-19-relevant articles from the PubMed Central Open Access (PMC-OA) Subset.
Machine learning approach to classify genes and genera in the family Geminiviridae.
Restructured version of Gene Expression Omnibus (GEO) that provides a user friendly interface for curating GEO database
Web-Based Database and Predictor of Anti-Inflammatory Natural Products.
Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning | Core code for the DeepHF prediction tool | SpCas9 & Base Editor Efficiency Prediction | This tool provides guid ...