sterlesser/franklin
franklin library for NGS sequencing analysis.
Discovered public repositories for sterlesser in the GitHub catalog.
franklin library for NGS sequencing analysis.
Official git repository for Biopython (converted from CVS)
CloudBioLinux: configure virtual (or real) machines with tools for biological analyses
Useful bioinformatics code, primarily in Python and R
Kitchen sink of Java/Groovy classes for UCSC cancer genomics.
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.
Public repository.
This is a cancer knowledge base system
A program that uses the k nearest neighbor algorithm and training data to predict whether cancer is malignant or benign
A cancer cell simulation
An online cancer expression analysis tool
lung cancer detection project
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
R package providing various functions relevant for gene expression analysis with emphasis on breast cancer.
Predicting breast cancer at 97.51% accuracy with Naive Bayes Classifier for learning purposes.
Software for manipulating and visualizing Complete Genomics data, with a focus on cancer
web computing toolbox for The Cancer Genome Atlas (TCGA)
Cancer cancer cancer