Pinned Repositories
bcbb
Useful bioinformatics code, primarily in Python and R
biopython
Official git repository for Biopython (converted from CVS)
btcrobot
Golang BTC/LTC trading bot engine
cancer
Cancer cancer cancer
cancer-bayes
Predicting breast cancer at 97.51% accuracy with Naive Bayes Classifier for learning purposes.
Cancer-Classification
A program that uses the k nearest neighbor algorithm and training data to predict whether cancer is malignant or benign
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.
cancersim
A cancer cell simulation
CancersInCommon
sterlesser's Repositories
sterlesser/bcbb
Useful bioinformatics code, primarily in Python and R
sterlesser/biopython
Official git repository for Biopython (converted from CVS)
sterlesser/btcrobot
Golang BTC/LTC trading bot engine
sterlesser/cancer-kbs
This is a cancer knowledge base system
sterlesser/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.
sterlesser/CancersInCommon
sterlesser/cloudbiolinux
CloudBioLinux: configure virtual (or real) machines with tools for biological analyses
sterlesser/deep-review
A collaboratively written review paper on deep learning, genomics, and precision medicine
sterlesser/durbinlib
Kitchen sink of Java/Groovy classes for UCSC cancer genomics.
sterlesser/mediledger
sterlesser/open.fda.gov
openFDA web site.
sterlesser/OpenNMT
Open-Source Neural Machine Translation in Torch
sterlesser/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
sterlesser/tcga.github.com
web computing toolbox for The Cancer Genome Atlas (TCGA)
sterlesser/tensorflow
Computation using data flow graphs for scalable machine learning
sterlesser/btcchina-payment-api-python
sterlesser/clinical-trials-gov
Playing with the API for ClinicalTrials.gov and LillyCOI
sterlesser/google-trends-csv-downloader
Python script that uses HTTP to download Google Trends data in CSV format. It provides authentication to Google services.
sterlesser/jiyin
sterlesser/kangan
sterlesser/kangantu
Chinese Medical Tourism
sterlesser/MedEmbassy
sterlesser/nematus
Open-Source Neural Machine Translation in Theano
sterlesser/nmt
TensorFlow Neural Machine Translation Tutorial
sterlesser/openfda
openFDA is a research project to provide open APIs, raw data downloads, documentation and examples, and a developer community for an important collection of FDA public datasets.
sterlesser/OpenNMT-py
Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
sterlesser/pyalgotrade
Python Algorithmic Trading Library
sterlesser/saleable-returns
sterlesser/tensorboard
Standalone TensorBoard for visualizing in deep learning
sterlesser/unofficial-google-trends-api
Python-based API that uses the http site to download Google Trends data