software-package

Hidden Markov models for cell lineage trees

PARAFAC2 tensor factorization for multi-sample scRNA-seq

Ce dépôt GitHub regroupe tous les cours, TP, TD, projets, et exercices de ma formation en master en mathématiques appliquées pour la science des données. Parcourez-le pour une vue complète de mon parcours académique, offrant une perspective détaillée de mon apprentissage dans ce domaine.

SESAME software tools for integrating Human - Earth System data

Collection of tensor factorization methods from the Meyer lab

Scalable GPU-accelerated PARAFAC2 implementation for single cell data

Infers undirected networks from data

Multivalent binding model implemented in Python

Shared repository of tensor-structured datasets

Bootstrap resampling tools for model uncertainty analysis

C++ solver for the gamma chain cytokines

Store and analyze scRNAseq data with extreme memory efficiency.

An R package for LC-MS data quality assessment using total ion current.

A compiling framework to build and package software

"حقيبة برمجية متكاملة تحتوي على 7 مشاريع بايثون احترافية (رادار، ألعاب، ساعة عالمية، ولانشر موحد) مع حقوق إعادة البيع الكاملة."

A multi-valent, multi-ligand, multi-receptor binding model.

Partial least squares implementation within CMTF