zetian-jia

zetian-jia's Stars

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python49.5k16.1k

• scverse/rapids_singlecell

  Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.

  Language:Python12619

• tendyliu/Source2Docx

  软件著作权申请时60页源码Word文档生成器

  Language:Java576

• zephms/ccopyright-software-copyright-application

  **版权保护中心 软件著作权申请教程

  11814

• Z-H-Sun/CS_CCME_Posts

  公众号推送备份

  29747

• hbliu/QDMR

  QDMR (Quantitative Differentially Methylated Regions) is a quantitative approach to quantify methylation difference and identify DMRs from genome-wide methylation profiles by adapting Shannon entropy.

  11

• posit-dev/py-shiny

  Shiny for Python

  Language:Python1.2k69

• msmbuilder/osprey

  🦅Hyperparameter optimization for machine learning pipelines 🦅

  Language:Python7426

• Christensen-Lab-Dartmouth/MethylNet

  Modular framework for deep learning predictions on methylation data.

  Language:HTML4911

• Ruzim/NSFC-application-template-latex

  国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）

  Language:TeX832203

• matze/mtheme

  A modern LaTeX Beamer theme

  Language:TeX6.4k839

• jernst98/ChromImpute

  Language:Java153

• pepebonet/DeepMP

  DeepMP is a computational tool to detect DNA modifications in Nanopore sequencing data

  Language:Python261

• stuart-lab/signac

  R toolkit for the analysis of single-cell chromatin data

  Language:R31685

• yupenghe/methylpy

  WGBS/NOMe-seq Data Processing & Differential Methylation Analysis

  Language:Python13148

• aertslab/cisTopic

  cisTopic: Probabilistic modelling of cis-regulatory topics from single cell epigenomics data

  Language:HTML13529

• csoneson/ExploreModelMatrix

  Explore design matrices interactively with R/Shiny

  Language:R362

• kaizhang/SnapATAC2

  Single-cell epigenomics analysis tools

  Language:Python21023

• Jstacs/Jstacs

  Language:Java165

• lanagarmire/deepimpute

  An accurate and efficient deep learning method for single-cell RNA-seq data imputation

  Language:Python8427

• rifathamoudi/COMETgazer

  COMETgazer mehylation analysis software suite

  Language:Shell112

• sjczheng/EpiDISH

  This package contains a reference-based function to infer the proportions of a priori known cell subtypes present in a sample representing a mixture of such cell-types. Inference proceeds via one of 3 methods (Robust Partial Correlations-RPC, Cibersort (CBS), Constrained Projection (CP)), as determined by user.

  Language:R4111

• GreenleafLab/chromVAR

  chromatin Variability Across Regions (of the genome!)

  Language:R15337

• UofABioinformaticsHub/BestPractices

  A Brief Summary Of Best Practices For Bioinformatics

  42

• weberlab-hhu/Helixer

  Using Deep Learning to predict gene annotations

  Language:Python15826

• Landau1994/PlotEpiTrackByR

  Language:R21

• lizongying/my-tv

  我的电视 电视直播软件，安装即可使用

  Language:C29.6k3.3k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.7k12.7k

• Ming-Lian/Memo

  学习笔记：我的第一个github仓库

  4926

• luwill/Machine_Learning_Code_Implementation

  Mathematical derivation and pure Python code implementation of machine learning algorithms.

  Language:Jupyter Notebook1.5k601