PinaColadast

aml2019

The following code accompanies a manuscript combining single-cell RNA-sequencing and genotyping to analyze cellular hierarchies in acute myeloid leukemia (AML).

bigdata-exercises

Exercises for the Big Data lecture at ETH Zurich (Fall 2021)

CDR3_prediction_case

copykat

JLab

MacBERT

Revisiting Pre-trained Models for Chinese Natural Language Processing (Findings of EMNLP)

ocular-disease-recognition-with-CNNs

Project-Gallery-

Summary for some highlighted ML/DL projects

scRNAseq-AML

single cell analysis on Acute Myeloid Leukemia dataset

Single-Cell-Analysis-CTCL

PinaColadast/ocular-disease-recognition-with-CNNs

PinaColadast/scRNAseq-AML

single cell analysis on Acute Myeloid Leukemia dataset

PinaColadast/Single-Cell-Analysis-CTCL

PinaColadast/aml2019

The following code accompanies a manuscript combining single-cell RNA-sequencing and genotyping to analyze cellular hierarchies in acute myeloid leukemia (AML).

PinaColadast/bigdata-exercises

Exercises for the Big Data lecture at ETH Zurich (Fall 2021)

PinaColadast/CDR3_prediction_case

PinaColadast/copykat

PinaColadast/JLab

PinaColadast/MacBERT

Revisiting Pre-trained Models for Chinese Natural Language Processing (Findings of EMNLP)

PinaColadast/Project-Gallery-

Summary for some highlighted ML/DL projects

PinaColadast/Shiny_visualization

PinaColadast/single-cell-tutorial

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

PinaColadast/tutorials

PyTorch tutorials.