Soufiane Mourragui (saroudant)

saroudant

Geek Repo

Company:Ensocell

Location:Cambridge

Twitter:@souf_mourra

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Organizations
NKI-CCB

Soufiane Mourragui's repositories

paradoxical_activation_scrnaseq

Analysis pipeline for the scRNA-seq data presented in "Paradoxical activation of oncogenic signaling as a cancer treatment strategy"

License:MITStargazers:1Issues:1Issues:0

tombo

Tombo is a suite of tools primarily for the identification of modified nucleotides from raw nanopore sequencing data.

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Balistic-project

I have designed this software for a project in my last year of Bachelor at Mines ParisTech. It is called the "Balistic Game" : two war-engines are confronting to one another and the first able to destroy the other wins. It has been designed in Java

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bonito

A PyTorch Basecaller for Oxford Nanopore Reads

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cellrank

CellRank for directed single-cell fate mapping

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DNAscent

Software for detecting regions of BrdU and EdU incorporation in Oxford Nanopore reads.

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Euler-Project

Some results on the Euler Project

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Preparatory-Class-Projects

You will find there my personnal projects made during my two years of prepatory class. The first one simulates a Black-Jack game and answers the question : are counting cards systems worth it ? (the answer is yes). The second one is more physics oriented. It simulates graphically and analytically a chemical reaction of diffusion known as Belouzov-Zhabothinsky reaction. This model uses the works of the Oregonator project.

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Research-project-diffusion-network

During my first year of master I have developed a software that enable to uncover a network given the knowledge of cascades. I adapted the work of other researchers for two cases : one single infection (cf. J.Leskovec's work) and plural infections.

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scikit-learn

scikit-learn: machine learning in Python

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ecosystem-packages

Registry for scverse ecosystem packages

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PyDESeq2

A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

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remora

Methylation/modified base calling separated from basecalling.

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scvi-tools

Deep probabilistic analysis of single-cell omics data

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transferlearning

Resources and codes about transfer learning and domain adaptation--迁移学习

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