{"id":"VC0014","type":"paper","title":"Predicting cellular responses to complex perturbations in high-throughput screens.","authors_or_org":"Lotfollahi M et al.","date":"2023-05-08","year":"2023","venue":"Molecular systems biology","url":"https://doi.org/10.15252/msb.202211517","doi":"10.15252/msb.202211517","pmid":"37154091","brain_tumor_focus":"no","tags":["perturbation","drug","autoencoder"],"tag_slugs":["perturbation","drug-response"],"tag_labels":["Perturbation","Drug response"],"tag_labels_zh":["扰动","药物反应"],"unmapped_tags":["autoencoder"],"one_line_summary_en":"CPA: compositional perturbation autoencoder for drug/dose/combination responses.","one_line_summary_zh":"CPA：组合扰动自编码器，预测药物/剂量/组合反应。","verified":"yes","verification_source":"Europe PMC","page_url":"https://gliostate.com/library/VC0014/","api_url":"https://gliostate.com/api/items/VC0014.json","sameAs":["https://doi.org/10.15252/msb.202211517","https://pubmed.ncbi.nlm.nih.gov/37154091/"],"is_preprint":false,"facets":{"type":"https://gliostate.com/library/type/paper/","year":"https://gliostate.com/library/year/2023/","tags":["https://gliostate.com/library/tag/perturbation/","https://gliostate.com/library/tag/drug-response/"]},"cited_by":[{"id":"model-virtual-cell","type":"model","title_en":"AI virtual cell models","title_zh":"AI 虚拟细胞模型","url":"https://gliostate.com/models/virtual-cell/","api_url":"https://gliostate.com/api/topics/model-virtual-cell.json"}],"related":[{"id":"VC0138","title":"PerturbLDM: conditional latent diffusion for modelling single-cell perturbation responses","shared_tags":["drug-response","perturbation"],"page_url":"https://gliostate.com/library/VC0138/","api_url":"https://gliostate.com/api/items/VC0138.json"},{"id":"VC0129","title":"DELPHAI, AI Agent for Predicting Drug Response and Resistance","shared_tags":["perturbation","drug-response"],"page_url":"https://gliostate.com/library/VC0129/","api_url":"https://gliostate.com/api/items/VC0129.json"},{"id":"VC0042","title":"Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution.","shared_tags":["drug-response"],"page_url":"https://gliostate.com/library/VC0042/","api_url":"https://gliostate.com/api/items/VC0042.json"},{"id":"VC0097","title":"Automated and personalized glioblastoma tumor organoid drug screening platform exposes sensitivity to proteasome and HDAC inhibitors.","shared_tags":["drug-response"],"page_url":"https://gliostate.com/library/VC0097/","api_url":"https://gliostate.com/api/items/VC0097.json"},{"id":"VC0132","title":"Drug and single-cell gene expression integration identifies sensitive and resistant glioblastoma cell populations","shared_tags":["drug-response"],"page_url":"https://gliostate.com/library/VC0132/","api_url":"https://gliostate.com/api/items/VC0132.json"},{"id":"VC0041","title":"Tahoe-100M : A Giga-Scale Single-Cell Perturbation Atlas for Context-Dependent Gene Function and Cellular Modeling","shared_tags":["drug-response"],"page_url":"https://gliostate.com/library/VC0041/","api_url":"https://gliostate.com/api/items/VC0041.json"}]}