Wenjing Ma's Projects
Android common lib, include ImageCache, HttpCache, DropDownListView, DownloadManager, Utils and so on
Google Girl's Hackathon - mesa group share
Use to get notification by LeanCloud.
Predict functional transcription factors leveraging H3K27ac profiles and ChIP-seq TF binding datasets.
Revised version using adaptive lasso model to predict functional transcription factors from a gene list or a ChIP-seq binding profile.
Batch generation on ChIP-Atlas result
Docker based, new version of BARTweb
Receive the Amazon SQS Service and trigger the shell script.
Biosignal Processing in Python
Homework repos for BMI500
HW3-clustering algorithm implement for course BMI500
Simplified illustration of blind-source separation algorithms
Supervised cell type identification for scATAC-seq data
Class project: from phenotype to genotype.
Keras implementation for Deep Embedding Clustering (DEC)
Class project for de-identification BMI 500 all 2020
The analysis code for analyzing Hippocampus Organoid
For IBS574 HW
For leetcode JAVA
Android project. Get location info by GPS, Wi-Fi, telephony and Bluetooth.
The goal of LRcell is to identify specific sub-cell types that drives the changes observed in a bulk RNA-seq differential gene expression experiment. To achieve this, LRcell utilizes sets of cell marker genes acquired from single-cell RNA-sequencing (scRNA-seq) as indicators for various cell types in the tissue of interest. Next, for each cell type, using its marker genes as indicators, we apply Logistic Regression on the complete set of genes with differential expression p-values to calculate a cell-type significance p-value. Finally, these p-values are compared to predict which one(s) are likely to be responsible for the differential gene expression pattern observed in the bulk RNA-seq experiments.
This is an external data storage package for LRcell R package using AnnotationHub.
Show my work
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A simple Hexo theme forked from icylogic.
PhysioNet Cardiovascular Signal Toolbox
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
Source code for "Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction".