{"doi":"10.1101/2022.03.15.484475","title":"Case-control analysis of single-cell RNA-seq studies","abstract":"Summary Single-cell RNA-seq (scRNA-seq) assays are being increasingly utilized to investigate specific hypotheses in both basic biology and clinically-applied studies. The design of most such studies can be often reduced to a comparison between two or more groups of samples, such as disease cases and healthy controls, or treatment and placebo. Comparative analysis between groups of scRNA-seq samples brings additional statistical considerations, and currently there is a lack of tools to address this common scenario. Based on our experience with comparative designs, here we present a computational suite ( Cacoa – ca se- co ntrol a nalysis ) to carry out statistical tests, exploration, and visualization of scRNA-seq sample cohorts. Using multiple example datasets, we demonstrate how application of these techniques can provide additional insights, and avoid issues stemming from inter-individual variability, limited sample size, and high dimensionality of the data.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2022,"id":296384,"datarank":0.6038027536102726,"base_score":4.02535169073515,"endowment":4.02535169073515,"self_citation_contribution":0.6038027536102726,"citation_network_contribution":0.0,"self_endowment_contribution":0.6038027536102726,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":55,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9575,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":557577,"name":"Anna A. Igolkina","orcid":"0000-0001-8851-9621","position":1,"is_corresponding":false},{"id":557574,"name":"Rasmus Rydbirk","orcid":"0000-0002-4670-7533","position":2,"is_corresponding":false},{"id":233285,"name":"Shenglin Mei","orcid":"0000-0001-8258-5898","position":3,"is_corresponding":false},{"id":983168,"name":"Lars Christoffersen","orcid":"0000-0002-3065-9610","position":4,"is_corresponding":false},{"id":241520,"name":"Konstantin Khodosevich","orcid":"0000-0001-7232-5558","position":5,"is_corresponding":false},{"id":23387,"name":"Peter V. Kharchenko","orcid":"0000-0002-6036-5875","position":6,"is_corresponding":false},{"id":241512,"name":"Viktor Petukhov","orcid":"0000-0002-2272-7249","position":0,"is_corresponding":true}],"reference_count":69,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T00:31:16.555318Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}