yh154

yh154's Stars

• jsxlei/SCALE

  Single-cell ATAC-seq analysis via Latent feature Extraction

  Language:Python10019

• r3fang/SnapATAC

  Analysis Pipeline for Single Cell ATAC-seq

  Language:R308126

• MarkFzp/act-plus-plus

  Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

  Language:Python3.1k571

• icbi-lab/nextNEOpi

  nextNEOpi: a comprehensive pipeline for computational neoantigen prediction

  Language:Nextflow6824

• marinavillaschi/ML-AndrewNg

  Notebooks from the Machine Learning Specialization

  Language:Jupyter Notebook264218

• AdalbertoCq/Histomorphological-Phenotype-Learning

  Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. 2024'

  Language:Python5014

• ebi-gene-expression-group/monocle-scripts

  Command line scripts wrapping functions in monocle3

  Language:R81

• ncgr/UMI-analysis

  Scripts for processing Illumina sequence data containing unique molecular identifiers (UMI)

  Language:C71