GSEApy is a Python/Rust implementation for GSEA and wrapper for Enrichr. GSEApy can be used for RNA-seq, ChIP-seq, Microarray data. It can be used for convenient GO enrichment and to produce ...

China Microarray Market Analysis Report 2024-2031: Use of Microarrays in Forensics and Growing Adoption of 3D-printed Microarrays Impact on the $900+ Million Industry - ResearchAndMarkets.com ...

Keywords: Alzheimer’s disease, gene expression profiling, microarray analysis, bioinformatics, biology Citation: Hashemi KS, Aliabadi MK, Mehrara A, Talebi E, Hemmati AA, Rezaeiye RD, Ghanbary MJ, ...

Python in Excel is rolling out today as a public preview for Microsoft 365 Insiders in the Beta Channel. It will be limited to Windows at first before being made available to other platforms “at ...

We extended this work in a recent preprint (Markello et al., 2021) to quantify how different processing choices can impact statistical analyses of the AHBA. The current Python package, abagen, aims to ...

Keywords: Y-chromosome, haplogroups, Polish population, regions of Poland, microarray analysis, SNPs Citation: Grochowalski Ł, Jarczak J, Urbanowicz M, Słomka M, Szargut M, Borówka P, Sobalska-Kwapis ...

Syndication 10 simple Python tips to speed up your data analysis October 12, 2020 - 11:39 am Tips and tricks, especially in the programming world, can be very useful.

Article citations More>> Wit, E. and McClure, J. (2004) Statistics for Microarrays: Design, Analysis, and Inference. 5th Edition, John Wiley & Sons Ltd., Chichester. has been cited by the following ...

Academic pathology suffers from an acute and growing lack of workforce resource. This especially impacts on translational elements of clinical trials, which can require detailed analysis of ...