Vincent Cabeli

bioRxiv · 2022

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Vincent Cabeli's perspective

Ordered by how strongly the researchers Vincent Cabeli trusts endorse each paper. Same corpus, a different order for every researcher.

1. SciPy 1.0: fundamental algorithms for scientific computing in Python
2. Statsmodels: Econometric and Statistical Modeling with Python
3. SCANPY: large-scale single-cell gene expression data analysis
4. RNA sequencing: the teenage years (Nature reviews genetics)
5. Squidpy: a scalable framework for spatial omics analysis (Nature Methods)
6. Exploring Network Structure, Dynamics, and Function using NetworkX
7. Time Series Analysis: With Applications in R
8. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
9. Cython: The Best of Both Worlds
10. User Guide a

Their papers

• PyDESeq2: a python package for bulk RNA-seq differential expression analysis (2022) — 323 citations