LBPO.BCS01 · 生物信息与计算 · Late-Breaking
Late-Breaking Research: Bioinformatics, Computational Biology, Systems Biology, and Convergent Science 1
- LB159 LB159 在肿瘤学空间转录组数据上对单模态与多模态基础模型进行基准评测的实用指南 A practical guideline for benchmarking unimodal and multimodal foundation models on spatial transcriptomics data in oncology Anna C. Wahl (née Schaar), Dasha Valter, Lisa Sikkema, Stefan G. Stark, Zelda E. Mariet, Tokuwa Kanno, Ediem Al-Jibury, Tobias Heinen, Liam Gonzalez, Marin G. M. Scalbert
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LB160 · PDF SMURFS:一个用于共识体细胞变异检测的综合性Nextflow流程 SMURFS: A comprehensive Nextflow pipeline for consensus somatic variant detection Ting Yang, Rongjie Wu
- LB161 LB161 新抗原发现流程的比较研究揭示突变新肽序列生成中的差异 A comparative study of neoantigen discovery pipelines uncovers discrepancies in the generation of mutated neopeptide sequences Ibel Carri, Angela Frentzen Worley, Ashmitaa Logandha Ramamoorthy Premlal, Gauri Renjith, Malachi Griffith, Jason Greenbaum, Alessandro Sette, Bjoern Peters, Zeynep Kosaloglu-Yalcin
- LB162 LB162 Twistcgp流程:一个用于转化肿瘤学中全面基因组分析的可移植开源工作流程 Twistcgp pipeline: A portable, open-source workflow for comprehensive genomic profiling in translational oncology Nils Homer, Erin McAuley, Zach Norgaard, James Flynn, Rebecca Barnard, Tina Han
- LB163 LB163 头颈癌的空间分析揭示两种具有不同上皮-间质转化模式的生态系统 Spatial analysis of head and neck cancer reveals two ecosystems with distinct modes of epithelial-to-mesenchymal transition Dor Simkin, Thomas F. Barrett, Lingling Zhang, Michael J. Moore, Alissa R. Greenwald, Noam G. Darnell, Michael Mints, Salma Ramadan, Victoria Yu, Riley DZ Mullins, Jesse Zaretsky, Porter Bischoff, Douglas Adkins, Wade L. Thorstad, Sana D. Karam, Randall C. Paniello, Jason T. Rich, Ryan S. Jackson, Patrik Pipkorn, Paul A. Zolkind, Guangyong Peng, R. Alex Harbison, Rebecca Chernock, Anuraag S. Parikh, Sidharth V. Puram, Itay Tirosh
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LB164 · PDF 结直肠癌中与西式饮食模式相关的突变特征 Mutational signatures associated with Western dietary patterns in colorectal cancer Mariya Kazachkova, Thomas Cattiaux, Ammal Abbasi, Mathilde Meyenberg, Joanna Loizou, Michael R. Stratton, Paul Brennan, Ludmil B. Alexandrov
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LB165 · PDF 通过进化选择压力预测新抗原免疫原性 Predicting neoantigen immunogenicity through evolutionary selection pressure Timothy Sears, Ko-Han Lee, Maurizio Zanetti, Hannah Carter
- LB166 LB166 HER2阳性乳腺癌脑转移中与tucatinib暴露相关的基因组和转录组变化 Genomic and transcriptomic changes associated with tucatinib exposure in HER2-positive breast cancer brain metastases Savannah C. Roy, Anna Guarnieri, Pradeep Bhartiya, Thomas Danhorn, Andrew Goodspeed, Hannah Parris, Virginia F. Borges, James Costello, David R. Ormond, Elena Shagisultanova
- LB168 LB168 通过迭代式多等位基因反卷积与集成深度学习,利用JANUS推进肽-MHC结合预测 Advancing peptide-MHC binding prediction with JANUS through iterative multi-allele deconvolution and ensemble deep learning Alan Perez-Rathke, Justin Balko, Jens Meiler
- LB169 LB169 scCAP:一个面向本体的大语言模型框架,用于分层且标准化的单细胞类型注释 scCAP: An ontology-aware large language model framework for hierarchical and standardized single-cell type annotation Dongkwan Shin, Seok-Won Jang, Jonghyun Lee, Juyeon Cho
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LB170 · PDF scVarID:将体细胞变异与单细胞转录组关联,揭示癌症早期相关的细胞状态 scVarID: Linking somatic variants to single-cell transcriptomes to reveal early cancer-associated cell states Dongkwan Shin, Juyeon Cho, Jonghyun Lee, Seok-Won Jang
- LB171 LB171 基于AI的B2SC识别驱动HER2+乳腺癌对T-DXd耐药的预先存在的TOP2A/E2F活跃细胞群 AI-based B2SC identifies pre-existing TOP2A/E2F-active populations driving resistance to T-DXd in HER2+ breast cancer Se-eun Han, Minwoo Jung, Taewoo Kim, Jaeeun Park, Minji Seo, Jangsoon Lee, Sang Youn Rhie
- LB172 LB172 基于RNA-seq的结直肠癌分子与微环境分层:一个韩国真实世界队列研究 RNA-seq-based molecular and microenvironmental stratification of colorectal cancer in a Korean real-world cohort Jinseon Yoo, Kyu Jin Song, Jimin Kim, Keeok Haam, Soobok Joe, Jongbum Jeon
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LB173 · PDF 绘制结直肠腺瘤-癌进展过程中的体细胞变异与RNA层面变异图谱 Mapping of somatic and RNA-level variants along the colorectal adenoma-carcinoma progression Dongkwan Shin, Jonghyun Lee, Juyeon Cho, Seok-Won Jang
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LB174 · PDF H-optimus-1:用于计算组织病理学的基础模型 H-optimus-1: A foundation model for computational histopathology Marin Scalbert, Charlie Saillard, Thomas Peeters, Liam Gonzalez, Dasha Valter, Felipe Llinares-López, Zelda E. Mariet, Rodolphe Jenatton
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LB175 · PDF 弱监督深度学习实现从H&E组织病理学进行空间分辨的细胞类型推断 Weakly supervised deep learning enables spatially resolved cell type inference from H&E histopathology Andrew T. Wang, Saugato R. Dhruba, Emma M. Campagnolo, Kun Wang, Danh-Tai Hoang, Eldad D. Shulman, Eytan Ruppin