Pinned Repositories
Breast-cancer-risk-prediction
Classification of Breast Cancer diagnosis Using Support Vector Machines
circtools
circtools: a modular, python-based framework for circRNA-related tools that unifies several functionalities in a single, command line driven software.
Cuproptosis-pancancer
DICE_COVID-19_GWAS_study
EasyAmplicon
Easy Amplicon data analysis pipeline
EasyMetagenome
Easy Metagenome Pipeline 2019 (1.0)
ExposomeDataChallenge2021
FIO-m6A-immune
Prognosis Analysis and Validation of m6A Signature and Tumor Immune Microenvironment in Glioma
GEO
NHANES_ExWAS
jinbinchan's Repositories
jinbinchan/NHANES_ExWAS
jinbinchan/Breast-cancer-risk-prediction
Classification of Breast Cancer diagnosis Using Support Vector Machines
jinbinchan/circtools
circtools: a modular, python-based framework for circRNA-related tools that unifies several functionalities in a single, command line driven software.
jinbinchan/Cuproptosis-pancancer
jinbinchan/DICE_COVID-19_GWAS_study
jinbinchan/EasyAmplicon
Easy Amplicon data analysis pipeline
jinbinchan/EasyMetagenome
Easy Metagenome Pipeline 2019 (1.0)
jinbinchan/ExposomeDataChallenge2021
jinbinchan/FIO-m6A-immune
Prognosis Analysis and Validation of m6A Signature and Tumor Immune Microenvironment in Glioma
jinbinchan/GEO
jinbinchan/gpt_academic
为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等
jinbinchan/gwas-download
Easily download publicly available GWAS summary statistics.
jinbinchan/gwas_scripts
Codebook from my GWAS cookbook
jinbinchan/GWAStutorial
Genome-wide association studies tutorial 🧬
jinbinchan/h3agwas
GWAS Pipeline for H3Africa
jinbinchan/M6A
Methylation pattern mediated by m6A regulator and tumor microenvironment invasion in lung adenocarcinoma
jinbinchan/Machine-learning-approach-for-identification-of-SARS--CoV-2-variants
To finding SARS-CoV-2 variants is not a trivial task. In 2019, coronavirus was spreading all over the world. For the purpose, we collected our data from GISAID. We used 5 algorithms. They are Logistic regression, K-Nearest Neighbor, Artificial Neural Network, Convolutional Neural Network and Support vector machine.
jinbinchan/mendelian-randomization-breast-cancer
Analysis workflow for MRC-IEU PhD mini-project on childhood BMI effect on breast cancer
jinbinchan/MetagenomeCourse2019
Course material for the metagenomics course
jinbinchan/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
jinbinchan/MTD
MTD: a unique pipeline for host and meta-transcriptome joint and integrative analyses of RNA-seq data
jinbinchan/nasopharyngeal-carcinoma
M6A-mediated molecular patterns and tumor microenvironment infiltration characterization in nasopharyngeal carcinoma
jinbinchan/nhanes
Scripts to download and aggregate NHANES data
jinbinchan/PRSice
A software package for calculating, applying, evaluating and plotting the results of polygenic risk scores
jinbinchan/Python-100-Days
Python - 100天从新手到大师
jinbinchan/R_for_Data_Science
Materials for teaching R and tidyverse
jinbinchan/SAHMI
jinbinchan/SEIR-Model-extension
基于SEIR传染病模型的延伸建模，加入了死亡人群，构建基本的SEIDR模型，加入疫苗影响、政府管控、病毒变异等因素，在原模型的基础上进行延伸
jinbinchan/seirsplus
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
jinbinchan/tidyverse120
玩转数据处理120题—R语言tidyverse版本