{"doi":"10.1145/3765612.3767240","title":"Pan-cancer Outcome Prediction using Multi-classifier Systems","abstract":"Predicting the outcome of cancer progression from high-throughput expression profiling data is a daunting task in practice due to tumor heterogeneity and lack of observations compared to high dimensionality. Multi-task learning methods have been applied to leverage the similarity between cancers of different tissue origins and improve the performance of survival analysis models. Nonetheless, the existence of both inter-cancer similarity and intra-cancer heterogeneity renders accurate predictive modeling difficult. In this work, we propose a novel strategy by considering many different cancer types together and leveraging patient similarity within individual cancers and across different cancer types. Experimental results suggest that our proposed multi-classifier approach outperforms baselines and state-of-the-art multi-task learning methods in a pan-cancer setting.","journal":null,"year":2025,"id":586257,"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":0.9523,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":948208,"name":"Tanzira Najnin","orcid":"0009-0005-3647-4253","position":1,"is_corresponding":false},{"id":263248,"name":"Jianhua Ruan","orcid":"0000-0002-5622-3137","position":2,"is_corresponding":false},{"id":1500275,"name":"Sakhawat Hossain Saimon","orcid":"0009-0007-6275-3234","position":0,"is_corresponding":true}],"reference_count":25,"raw_metadata":null,"created_at":"2026-07-19T02:59:28.666390Z","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":[]}