sparsepenn Goto Github PK

1st-in-miccai-midog-2021-challenge

aspc-da

bio_data_process

bioinformation data process

boiarsky-etal-2022

Code to reproduce methods & results from Boiarsky et. al., Nature Communications 2022

book

Deep Learning 101 with PaddlePaddle

bspl-fc

Balanced Self-Paced Learning with Feature Corruption

cell_mitosis_detection

A project for detection of mitotic cells from tissue images using Computer Vision.

contrastive-sc

couplednmf

Coupled clustering of single cell genomic data

csmr

Component Sparse Mixture Regression

cvpr2023-paper-code-interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

dca

Deep count autoencoder for denoising scRNA-seq data

dgrns

A deep learning framework for gene regulatory network inference from single-cell transcriptomic data

drjcc

Clustering scRNA-seq by joint dimension reduction and clustering

drjnmf

Clustering scRNA-seq by joint dimension reduction and clustering

epiconv

episcanpy

Episcanpy: Epigenomics Single Cell Analysis in Python

flan

Code for paper FLAN: Domain Adaptation with Feature and Label AdversarialNetworks.

itclust

Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis

labelcorrection

machine-learning-class

欢迎来到机器学习理论与方法课程

matlab_code-ufldl-exercise-

My UFLDL EXERCISE CODE

mofa

Multi-Omics Factor Analysis

multik

MultiK is a data-driven tool that objectively assesses the optimal number(s) of clusters based on the concept of consensus clustering via a multi-resolution perspective.

nimfa

nimfa - A Python Library for Nonnegative Matrix Factorization Techniques

nsf-paper

Nonnegative spatial factorization for multivariate count data

one--stop-he-system

pengzhao

safe

saucie