Yupeng Wang

MCScanX. MCScanX: Multiple Collinearity Scan toolkit X version. The most popular synteny analysis tool in the world!

SAS-Clinical-Trials-Toolkit. SAS scripts for clinical trials applications including generating SDTM domains, ADaM datasets, and Define.xml files

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

SAS-Biostat-Tools. SAS scripts for various biostatistics applications. A complete pipeline for analyzing microarray data using linear models is included.

Biostatistics. R programs for biostatistics models and TLF

SeqEnhDL. Multiple machine learning and deep learning models for sequence-based enhancer prediction

compute-grs. A small Perl script for computing genetic risk scores for obesity from a VCF file

PHP-Market-Data-Visualization. PHP codes to visualize realtime stock data via candlestick and RSI chart.

DNN-Precision-Medicine. Deep neural network (DNN) models for a precision medicine problem using Python and TensorFlow.

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

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.

AntEpiSeeker2. Extended AntEpiSeeker algorithm relating epistasis detection to biological pathway analysis using ant colony optimization

NGS_Pipeline_Utilities. A python toolkit to facilitate development, regression testing and deployment of NGS pipelines

LSOSS. An R package for detection of cancer outlier differential gene expression

additive_epistasis. Collection of R, Python, Perl and Tensorflow programs to simulate and detect the additive epistasis genetic model