AMAwatermelon

AMAwatermelon's Stars

• MarcElosua/SPOTlight

  Spatial Transcriptomics Capture Location Deconvolution

  Language:R16225

• dmcable/spacexr

  Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics

  Language:HTML30273

• huayc09/SeuratExtend

  Language:R898

• YuLab-SMU/clusterProfiler

  :bar_chart: A universal enrichment tool for interpreting omics data

  Language:R1k255

• chris-mcginnis-ucsf/DoubletFinder

  R package for detecting doublets in single-cell RNA sequencing data

  Language:R411109

• jumphone/Vector

  Unsupervised Inference of Developmental Directions for Single Cells

  Language:R216

• kstreet13/slingshot

  Functions for identifying and characterizing continuous developmental trajectories in single-cell data.

  Language:R26843

• ModelOriented/survex

  Explainable Machine Learning in Survival Analysis

  Language:R9910

• ZJUFanLab/scRank

  A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gene regulatory network (tpGRN) for single-cell transcriptomic data

  Language:R373

• jokergoo/ComplexHeatmap

  Make Complex Heatmaps

  Language:R1.3k230

• Yelab2020/Cottrazm

  Construct Tumor Transition Zone Microenvironment

  Language:R357

• HuangLabUMN/oncoPredict

  An R package for drug response prediction and drug-gene association prediction.

  Language:R153

• kuijjerlab/SCORPION

  Single Cell Oriented Reconstruction of PANDA-based Individually Optimized Networks

  Language:R223

• xjsun1221/tinyarray

  plots function for array

  Language:R8725

• yikeshu0611/ggDCA

  Language:R105

• tjhwangxiong/TCGAplot

  A number of functions were generated to perform pan-cancer DEG analysis, correlation analysis between gene expression and TMB, MSI, TIME, and promoter methylation. Methods for visualization were provided in order to easily perform integrative pan-cancer multi-omics analysis.

  Language:R7414

• mlr-org/mlr3

  mlr3: Machine Learning in R - next generation

  Language:R94285

• const-ae/ggsignif

  Easily add significance brackets to your ggplots

  Language:R58843

• IOBR/IOBR

  IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.

  Language:HTML19853

• chuiqin/irGSEA

  The integration of single cell rank-based gene set enrichment analysis

  Language:R11217

• njudd/ggrain

  {package} Make beautiful Raincloud plots in R!

  Language:R684

• junjunlab/scRNAtoolVis

  Useful functions to make your scRNA-seq plot more cool!

  Language:R27629

• smorabit/hdWGCNA

  High dimensional weighted gene co-expression network analysis

  Language:R35435

• jmzeng1314/AnnoProbe

  Language:R10038

• navinlabcode/CellTrek

  Language:R10518

• jinworks/CellChat

  R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics

  Language:R27745

• ludvigla/semla

  Language:R575

• data2intelligence/SpaCET

  Spatial Cellular Estimator for Tumors

  Language:R414

• theMILOlab/SPATAData

  The database for spatially resolved transcriptomics

  Language:R73

• theMILOlab/SPATA2

  A Toolbox for Spatial Transcriptomics Analysis

  Language:R10217