sunqiangzai

sunqiangzai's Stars

• apache/echarts

  Apache ECharts is a powerful, interactive charting and data visualization library for browser

  Language:TypeScript60.5k2k18.5k19.6k

• tirthajyoti/Machine-Learning-with-Python

  Practice and tutorial-style notebooks covering wide variety of machine learning techniques

  Language:Jupyter Notebook3.1k158101.8k

• TheNetAdmin/zjuthesis

  Zhejiang University Graduation Thesis LaTeX Template

  Language:TeX2.6k15312618

• macs3-project/MACS

  MACS -- Model-based Analysis of ChIP-Seq

  Language:Python70649531268

• jeya-maria-jose/UNeXt-pytorch

  Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022

  Language:Python47634477

• ConesaLab/SQANTI3

  Tool for the Quality Control of Long-Read Defined Transcriptomes

  Language:HTML1981028149

• ISYSLAB-HUST/ProtFlash

  ProtFlash: A lightweight protein language model

  Language:Python99233

• cnicault/30DayChartChallenge

  My chart for the 30DayChartChallenge

  517012

• PacificBiosciences/HiFi-human-WGS-WDL

  Language:WDL50163727

• OmnesRes/onco_lnc

  Language:Python346316

• Shuhua-Group/CPC-graph-based-NGS-pipeline

  A graph-based pipeline used to call/genotype snvs/indels/SVs from NGS data

  Language:Python15012

• raphael-group/mascote

  MASCoTE (Multiple Allele-specific Simulation of Copy-number Tumor Evolution) is a simulation framework to generate sequencing reads with appropriately corrections for the differences in genome lengths between the normal and tumor clone(s) present in multiple mixed samples.

  Language:Python10905

• fbidu/medCrawl

  Simple Python crawler for PubMed

  Language:Python4322

• coldrainyht/PDAC

  Language:C31

• sunqiangzai/CGRS

  We established a new prognostic signature, clinic and genetic risk score (CGRS), by integrating gene expression profiles with clinical characteristics. CGRS has been confirmed in four different cohorts for accurately predicting GC prognosis, and significantly stratified stage III GC patients into high and low risk groups with different survival time. Furthermore, an easy-to-use nomogram and web application based on CGRS were developed to facilitate its application in clinical practice.

  Language:R1200

• sunqiangzai/fastp

  A FASTQ preprocessor with full features (QC/adapters/trimming/filtering/splitting...)

  Language:C++1100

• sunqiangzai/maftools

  :cancer: Summarize, Analyze and Visualize MAF files from TCGA or in house studies.

  Language:R1100

• sunqiangzai/speedseq

  A flexible framework for rapid genome analysis and interpretation

  Language:C1100

• sunqiangzai/SURVIV

  Survival Analysis of mRNA Isoform Variation

  Language:Python1100