sterlesser's repositories
cancer-kbs
This is a cancer knowledge base system
Cancer-KBS_
Cancer Knowledge based system is used for diagnosis of various types of cancers and getting information on supported types of cancers. It currently supports 10 types of common cancers suspected to be among the major types.
cloudbiolinux
CloudBioLinux: configure virtual (or real) machines with tools for biological analyses
deep-review
A collaboratively written review paper on deep learning, genomics, and precision medicine
open.fda.gov
openFDA web site.
predictionet
This package contains a set of functions related to network inference combining genomic data and prior information extracted from biomedical literature and structured biological databases.The main function is able to generate networks using bayesian or regression-based inference methods; while the former is limited to < 100 of variables, the latter may infer network with hundreds of variables. Several statistics at the edge and node levels have been implemented (edge stability, predictive ability of each node, ...) in order to help the user to focus on high quality subnetworks. Ultimately, this package is used in the 'Predictive Networks' web application developed by the Dana-Farber Cancer Institute in collaboration with Entagen
tcga.github.com
web computing toolbox for The Cancer Genome Atlas (TCGA)
tensorflow
Computation using data flow graphs for scalable machine learning
clinical-trials-gov
Playing with the API for ClinicalTrials.gov and LillyCOI
google-trends-csv-downloader
Python script that uses HTTP to download Google Trends data in CSV format. It provides authentication to Google services.
OpenNMT-py
Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
pyalgotrade
Python Algorithmic Trading Library
tensorboard
Standalone TensorBoard for visualizing in deep learning
unofficial-google-trends-api
Python-based API that uses the http site to download Google Trends data