urszulaczerwinska Goto Github PK

aiv_matlab

Project of modelling MinA and MinD - cell division

allen-classif-clean

amritr

Amrit's personal data analyses functions, concepts and explorations

appliedpredictivemodeling

Studying ML

awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

bookdown-crc

A minimal example of using bookdown to write a book for Chapman & Hall

curie2015

My_R_SCRIPTS

curie2016_ica

deconvolution of mixed samples

deconica

Deconvolution of transcriptome through Immune Component Analysis

dedal

DeDaL (Data-Driven network Layout) is a Cytoscape 3.0 [1] app developed by the Computational Systems Biology of Cancer group in Bioinformatics Laboratory of Institut Curie (Paris).

duplicate_detector

duplicate-dtector-cli

fromsciencetodatascience

materials from "From Science to Data Science seminars"

garuda

mcpcounter

mines_ml

class http://members.cbio.mines-paristech.fr/~jvert/svn/lsml/lsml17/

ml_starters

mock_project_regression

this is a small ML regression demo in python

molecular_map_scores

script used to compute scores of cell groups in molecular maps for publication in Nature Communiocations

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

pets

Pets kaggle competiton https://www.kaggle.com/c/petfinder-adoption-prediction

quantumclone

Clonal reconstruction from HTS data

r_viz_course

http://urszulaczerwinska.github.io/works/TP_R this is a course for bachelor students that never programmed in R

rajmak.wordpress.com

rr-r-publication

Reproducible Research Workshop Demo repository for publication writing in R

sequential_sentence_classification

https://arxiv.org/pdf/1909.04054

uczphdthesis

Github for bookdown project

urszulaczerwinska.github.io

Check out the section about me, blog is coming soon

webtraffic_kaggle

xaibookchapter

The code for the book "Data Science in Tourism" chapter Interpretability of Machine Learning models