Name: junjie chen
Type: User
Company: Harbin Institute of Technology, Shenzhen
Bio: I am an associate professor in Harbin Institute of Technology, Shenzhen, China. My research interests include Bioinformatics, Machine Learning, NLP.
Location: Shenzhen, Guangdong, China
junjie chen's Projects
predict ADAS and MMSE score based on genotype
A curated list of resources for privacy-preserving machine learning
ECP-CANDLE Benchmarks
Genotype Imputation using Bidirectional Recurrent Neural Network
Autoencoder network for imputing missing values
DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2
Deep Feature Interaction Maps (DFIM)
Travel the TCGA dir, and run gdc-client to download specific data
Differential Privacy Protection against MembershipInference Attack on Genomic data
An empirical study on evaluation metrics of generative adversarial networks.
Slides and Tutorials
nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
Hi-C data super-resolution with generative adversarial networks
Example job submission scripts for HPC systems (PBS and SLURM)
Utility for extracting layer weights and biases from Keras models
Keras implementations of Generative Adversarial Networks.
This project is to investigate GWAS on lactose intolerance to see if we can find more.
一些关于机器学习的学习资料与研究介绍
二代测序数据分析
PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Implementations of computer vision concepts.
Sparse Convolutional Denoising Autoencoders for Genotype Imputation
A Sparse Convolutional Predictor with Denoising Autoencoders for Phenotype Prediction
Sequence-Order Frequency Matrix (SOFM) is a novel protein profile, which can achieve more information content than traditional profiles.