GMaciag

PhD Bioinformatics student at the University of Copenhagen

Copenhagen

Pinned Repositories

Complete-Python-Bootcamp
Lectures for Udemy - Complete Python Bootcamp Course
Language:Jupyter Notebook0 0 00
conos
Clustering on Network of Samples
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hello-world
Just an-... a best repository. cool cool
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julia_course_image
Project for the Julia for Data Analysis in Ecology and Evolution PhD course
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masterthesis
Source code for the analysis done as a part of my master thesis (KU 2019)
Language:R00
pythontsunami2020
Notebook for the Python Tsunami 2020 course at Copenhagen University
Language:Jupyter Notebook00
scanpy
Single-Cell Analysis in Python. Scales to >1M cells.
Language:Python0 0 00
SCENICprotocol
A scalable SCENIC workflow for single-cell gene regulatory network analysis
Language:Python00
Score-Statistics-homework
Exercise 4 for computer science specialization
Language:Python00
TENET
TENET is a tool for reconstructing gene regulatory networks from pseudo-time ordered single-cell transcriptomic data.
Language:Python0 0 00

GMaciag/Complete-Python-Bootcamp
Lectures for Udemy - Complete Python Bootcamp Course
Language:Jupyter Notebook0 0 00
GMaciag/conos
Clustering on Network of Samples
Language:C++0 0 00
GMaciag/hello-world
Just an-... a best repository. cool cool
0 0 00
GMaciag/julia_course_image
Project for the Julia for Data Analysis in Ecology and Evolution PhD course
Language:HTML00
GMaciag/masterthesis
Source code for the analysis done as a part of my master thesis (KU 2019)
Language:R00
GMaciag/pythontsunami2020
Notebook for the Python Tsunami 2020 course at Copenhagen University
Language:Jupyter Notebook00
GMaciag/scanpy
Single-Cell Analysis in Python. Scales to >1M cells.
Language:Python0 0 00
GMaciag/SCENICprotocol
A scalable SCENIC workflow for single-cell gene regulatory network analysis
Language:Python00
GMaciag/Score-Statistics-homework
Exercise 4 for computer science specialization
Language:Python00
GMaciag/TENET
TENET is a tool for reconstructing gene regulatory networks from pseudo-time ordered single-cell transcriptomic data.
Language:Python0 0 00