{"doi":"10.1101/2021.09.12.459931","title":"Hobotnica: exploring molecular signature quality","abstract":"Abstract A Molecular Features Set (MFS), is a result of vast diversity of bioinformatics pipelines. In case when MFS is used for further analysis to distinguish between phenotypes, it is often referred to as a signature. Lack of the “gold standard” for most experimental data modalities makes it hard to provide valid estimation for a particular MFS’s quality. Yet, this goal can partially be achieved by analyzing inner-sample Distance Matrix (DM) and their power to distinguish between phenotypes. The quality of a DM can be assessed by summarizing its power to quantify the differences of inner-phenotype and outer-phenotype distances. This estimation of the DM quality can be construed as a measure of the MFS’s quality. Here we propose Hobotnica , an approach to estimate MFS’s quality by their ability to stratify data, and assign them significance scores, that allows for collating various signatures and comparing their quality for contrasting groups.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2021,"id":226603,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9355,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":787191,"name":"Alexey Sizykh","orcid":"0000-0002-4412-3403","position":1,"is_corresponding":false},{"id":49990,"name":"Alexander V. Favorov","orcid":"0000-0003-2595-1091","position":2,"is_corresponding":false},{"id":598521,"name":"Bahman Afsari","orcid":"0000-0001-8717-7199","position":3,"is_corresponding":false},{"id":263707,"name":"Sarah J. Wheelan","orcid":"0000-0002-9002-0800","position":4,"is_corresponding":false},{"id":11494,"name":"Luigi Marchionni","orcid":"0000-0002-7336-8071","position":5,"is_corresponding":false},{"id":77594,"name":"Yulia A. Medvedeva","orcid":"0000-0002-7587-1666","position":6,"is_corresponding":false},{"id":552561,"name":"Alexey Stupnikov","orcid":"0000-0001-7605-410X","position":0,"is_corresponding":true}],"reference_count":14,"raw_metadata":null,"created_at":"2026-07-18T23:54:38.004707Z","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":[]}