Pinned Repositories
AdvMIL
[MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
ampad-DiffExp
Code base for performing covariate adjustments and differential expression analysis of the RNAseq data from AMP-AD.
AUCell
AUCell: score single cells with gene regulatory networks
BEDs
Bagging Ensemble Deep Segmentation for Nucleus Segmentation with Testing Stage Stain Augmentation
bhtsne
Barnes-Hut t-SNE
BioGPT
CellChat
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
cellphonedb
Genetic-Algorithm-and-Machine-learing
The objective of this study is to develop a GA-based approach, utilizing a feedback linkage between feature selection and classification.
slideflow
Deep learning pipeline for digital pathology, with both Tensorflow and PyTorch support.
Meijian's Repositories
Meijian/Genetic-Algorithm-and-Machine-learing
The objective of this study is to develop a GA-based approach, utilizing a feedback linkage between feature selection and classification.
Meijian/ampad-DiffExp
Code base for performing covariate adjustments and differential expression analysis of the RNAseq data from AMP-AD.
Meijian/bhtsne
Barnes-Hut t-SNE
Meijian/CourseScheduler
A web interface to help student register account and select courses.
Meijian/EMR_NLP_MachineLearning
A project to process free-text clinical reports with NLP and machine learning
Meijian/gtexresults
Code and data resources accompanying Urbut et al (2017), "Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions."
Meijian/mashr
An R package for multivariate adaptive shrinkage.
Meijian/normpy
Normalization methods for RNA-Seq expression data in Python.
Meijian/PersonalizedMedicine
A kaggle competition to predict cancer mutation categories using scientific papers
Meijian/python-dlpy
The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.
Meijian/ReLeaSE
Deep Reinforcement Learning for de-novo Drug Design
Meijian/rnarry
Simple tools for data analysis for molecular biology of RNA
Meijian/rtg-tools
RTG Tools: Utilities for accurate VCF comparison and manipulation
Meijian/SPRING