DeepPhe-Release

Cancer info extractor

A software system for extracting and analyzing cancer information from unstructured text data

Public release of the DeepPhe analytic software

GitHub

30 stars
12 watching
10 forks
last commit: almost 2 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
fredhutch/oncoscape A web application to apply analysis tools for molecular and clinical data in cancer research. 179
bikash/documentunderstanding Research and development of tools and techniques for extracting information from images and PDFs using deep learning and graph neural networks. 96
advanced-threat-research/darkside-config-extract Extracts configuration data from ransomware binaries 31
hazyresearch/deepdive An interactive, command-line tool for diving into and analyzing text data. 1,958
lishen/end2end-all-conv Develops machine learning models to detect breast cancer from mammography images using deep learning techniques 374
recrm/archivetools A collection of tools for extracting and analyzing data from web archives 69
anonyfox/elixir-scrape A tool for extracting structured data from web resources using information-retrieval techniques. 328
eyurtsev/kor Extracts structured data from unstructured text using large language models 1,629
fox-it/dissect.target Provides a programming API and command line tools to access various data sources inside disk images or file collections. 44
sentinal4d/cellshape Analyzes 3D cell shape features using deep learning for cancer research 21
xyntopia/pydoxtools A Python library for extracting information from unstructured documents using AI techniques and customizable pipelines. 77
danieljdufour/date-extractor Extracts dates from text in various languages 64
aymericbeaumet/squeeze A tool to extract relevant information from text 17
dice-group/fox A framework that integrates Linked Data Cloud with diverse NLP algorithms to extract high-accuracy RDF triples from natural language. 191
ecmwfcode4earth/deepr Project aimed at downscaling global climate data to higher resolutions using deep learning techniques. 22