dyxstat
Ph.D. candidate in Bioinformatics yuxuandu@usc.edu Stats/ML/Biology
University of Southern California
Pinned Repositories
awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
bash-tutorial
Bash 教程
Bayesian-Active-Learning-Pytorch
Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))
HiCBin
HiCBin: binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps
HiCzin
HiCzin: Normalizing metagenomic Hi-C data and detecting spurious contacts using zero-inflated negative binomial regression
HiFine
HiFine: integrating Hi-c-based and shotgun-based methods to reFine binning of metagenomic contigs
ImputeCC
ImputeCC enhances integrative Hi-C-based metagenomic binning through constrained random-walk-based imputation
MetaCC
MetaCC allows scalable and integrative analyses of both long-read and short-read metagenomic Hi-C data
Unlabeled_HiCzin
Unlabeled version of HiCzin exployed in the published paper
ViralCC
ViralCC: leveraging metagenomic proximity-ligation to retrieve complete viral genomes
dyxstat's Repositories
dyxstat/mgcpy-old
MGCPY WILL NO LONGER BE UPDATED. THE NEW REPO CAN BE FOUND HERE:
dyxstat/SCHAIN
The code of SCHAIN in the paper Semi-supervised Clustering in Attributed Heterogeneous Information Networks
dyxstat/constrained-k-means
Implementing COP-Kmeans and PC-Kmeans
dyxstat/nonnegfac-python
Python toolbox for nonnegative matrix factorization
dyxstat/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
dyxstat/symnmf
Symmetric NMF for graph clustering