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Yuxuan Yancey Du's Projects

bayesian-active-learning-pytorch icon 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/))

bin3c icon bin3c

Extract metagenome-assembled genomes (MAGs) from metagenomic data using Hi-C.

checkm icon checkm

Assess the quality of microbial genomes recovered from isolates, single cells, and metagenomes

checkm2 icon checkm2

Assessing the quality of metagenome-derived genome bins using machine learning

deepdecon icon deepdecon

DeepDecon: A Deep-learning Method for Estimating Cell Fractions in Bulk RNA-seq Data with Applications to AM

dyxstat.github.io icon dyxstat.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

hicbin icon hicbin

HiCBin: binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps

hiczin icon hiczin

HiCzin: Normalizing metagenomic Hi-C data and detecting spurious contacts using zero-inflated negative binomial regression

hifine icon hifine

HiFine: integrating Hi-c-based and shotgun-based methods to reFine binning of metagenomic contigs

imputecc icon imputecc

ImputeCC enhances integrative Hi-C-based metagenomic binning through constrained random-walk-based imputation

magpy icon magpy

Snakemake pipeline for downstream analysis of metagenome-assembled genomes (MAGs) (pronounced mag-pie)

metacc icon metacc

MetaCC allows scalable and integrative analyses of both long-read and short-read metagenomic Hi-C data

metator icon metator

Metagenomic binning based on Hi-C data

metawrap icon metawrap

MetaWRAP - a flexible pipeline for genome-resolved metagenomic data analysis

mgcpy-old icon mgcpy-old

MGCPY WILL NO LONGER BE UPDATED. THE NEW REPO CAN BE FOUND HERE:

minimap2 icon minimap2

A versatile pairwise aligner for genomic and spliced nucleotide sequences

prokka icon prokka

:zap: :aquarius: Rapid prokaryotic genome annotation

pytorch-vae icon pytorch-vae

A Variational Autoencoder (VAE) implemented in PyTorch

schain icon schain

The code of SCHAIN in the paper Semi-supervised Clustering in Attributed Heterogeneous Information Networks

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