• Stars
    star
    1
  • Language
    R
  • Created over 13 years ago
  • Updated over 7 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

An R package for detection of cancer outlier differential gene expression

More Repositories

1

MCScanX

MCScanX: Multiple Collinearity Scan toolkit X version. The most popular synteny analysis tool in the world!
CAP CDS
228
star
2

SAS-Clinical-Trials-Toolkit

SAS scripts for clinical trials applications including generating SDTM domains, ADaM datasets, and Define.xml files
SAS
90
star
3

MCScanX-transposed

Source code for my Bioinformatics paper "MCScanX-transposed: detecting transposed gene duplications based on multiple colinearity scans".
C++
6
star
4

SAS-Biostat-Tools

SAS scripts for various biostatistics applications. A complete pipeline for analyzing microarray data using linear models is included.
SAS
4
star
5

PHP-Market-Data-Visualization

PHP codes to visualize realtime stock data via candlestick and RSI chart.
PHP
3
star
6

DNN-Precision-Medicine

Deep neural network (DNN) models for a precision medicine problem using Python and TensorFlow.
Python
3
star
7

Biostatistics

R programs for biostatistics models and TLF
R
3
star
8

compute-grs

A small Perl script for computing genetic risk scores for obesity from a VCF file
Perl
3
star
9

AntEpiSeeker

A C++ tool for detecting epistatic interactions for case-control studies using a two-stage ant colony optimization algorithm
C++
3
star
10

SeqEnhDL

Multiple machine learning and deep learning models for sequence-based enhancer prediction
Python
3
star
11

Sklearn-Bank-Marketing

Build multiple machine learning models (Nearest Neighbors, SVMs, Decision Tree, Random Forest, Naive Bayes, etc.) for bank marketing data using sklearn and pandas.
Python
2
star
12

AntEpiSeeker2

Extended AntEpiSeeker algorithm relating epistasis detection to biological pathway analysis using ant colony optimization
C++
2
star
13

additive_epistasis

Collection of R, Python, Perl and Tensorflow programs to simulate and detect the additive epistasis genetic model
R
1
star
14

NGS_Pipeline_Utilities

A python toolkit to facilitate development, regression testing and deployment of NGS pipelines
Python
1
star