# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ILoReg" in publications use:' type: software license: GPL-3.0-only title: 'ILoReg: ILoReg: a tool for high-resolution cell population identification from scRNA-Seq data' version: 1.15.0 abstract: ILoReg is a tool for identification of cell populations from scRNA-seq data. In particular, ILoReg is useful for finding cell populations with subtle transcriptomic differences. The method utilizes a self-supervised learning method, called Iteratitive Clustering Projection (ICP), to find cluster probabilities, which are used in noise reduction prior to PCA and the subsequent hierarchical clustering and t-SNE steps. Additionally, functions for differential expression analysis to find gene markers for the populations and gene expression visualization are provided. authors: - family-names: Smolander given-names: Johannes email: johannes.smolander@gmail.com - family-names: Junttila given-names: Sini - family-names: Venäläinen given-names: Mikko S - family-names: Elo given-names: Laura L preferred-citation: type: article title: 'ILoReg: a tool for high-resolution cell population identification from single-cell RNA-seq data' authors: - family-names: Smolander given-names: Johannes email: johannes.smolander@gmail.com - family-names: Junttila given-names: Sini - family-names: Venalainen given-names: Mikko S - family-names: Elo given-names: Laura L year: '2021' journal: Bioinformatics notes: R package version 1.15.0 url: https://doi.org/10.1093/bioinformatics/btaa919 repository: https://bioc.r-universe.dev repository-code: https://github.com/elolab/ILoReg url: https://github.com/elolab/ILoReg contact: - family-names: Smolander given-names: Johannes email: johannes.smolander@gmail.com