Fundamental Research最新文献

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IF 6.3 3区综合性期刊 Q1 Multidisciplinary

Fundamental Research

Pub Date : 2026-01-01

引用次数: 0

Sulfur-mediated bacteria outperform glycogen-accumulating organisms in carbon-deficient wastewater: Key role of influent C/S0 ratios 缺碳废水中的硫媒介细菌优于糖原累积型生物：进水 C/S0 比率的关键作用

IF 6.3 3区综合性期刊 Q1 Multidisciplinary

Fundamental Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fmre.2023.10.024

Boyi Cheng , Lei Chen , Lichang Zhou , Qingshan Lin , Jinqi Jiang , Hui Lu , Lei Miao , Xiaonan Feng , Zongping Wang , Guanghao Chen , Gang Guo

Biological nutrient (including nitrogen and phosphorus) removal is often hindered by the lack of organic carbon (C) sources, which can result in the excessive growth of glycogen-accumulating organisms (GAOs), even in sulfate-containing wastewater. Elemental sulfur (S⁰) has been considered as an economical and energy-efficient electron donor to achieve biological nutrient removal from wastewater. In this study, the long-term effects of C/S⁰ ratios on the competition between sulfur-mediated bacteria (SMB) and GAOs was investigated to explore the feasibility of using S⁰ to partially replace carbon and suppress the proliferation of GAOs in biological treatment systems. Four parallel bioreactors were continuously operated for approximately 100 days and fed a substrate consisting of 400, 200, 100, and 0 mg acetate-COD/L, in addition to 0.53 g S⁰/cycle (equal to 400 mg COD/L); the acetate-COD concentrations corresponded to C/S⁰ ratios of 0.28 (R1), 0.14 (R2), 0.07 (R3), and 0 (R4), respectively. The results showed that a relatively high C/S⁰ ratio of 0.28 (in R1) and low C/S⁰ ratios of 0.07 (in R3) and 0 (in R4) enhanced 1) S metabolism, especially anaerobic S⁰ reduction to form S²⁻, which was mediated by sulfate/sulfur-reducing bacteria (SRB/S⁰RB, e.g., Desulfobacter and Desulfuromonas), or 2) S⁰ oxidation to form sulfate, which was mediated by sulfur-oxidizing bacteria (SOB, e.g., Thiobacillus) to promote their growth over GAOs (e.g., Candidatus_Competibacter). However, when the C/S⁰ ratio was 0.14 in R2, this reactor displayed a GAO phenotype rather than a SMB phenotype since GAO communities have a higher acetate uptake rate than SMB. Thus, an appropriate amount of S⁰ addition supported the competitiveness of SMB over GAOs. Finally, the potential mechanism about competition between the two communities (SMB and GAOs) was revealed. This study provides a new mechanistic strategy to promote the proliferation of SMB over GAOs in carbon-deficient wastewater.

生物营养物（包括氮和磷）的去除常常受到缺乏有机碳(C)源的阻碍，这可能导致糖原积累生物（GAOs）的过度生长，即使在含硫酸盐的废水中也是如此。单质硫（S0）被认为是一种经济高效的电子供体，可以实现废水中营养物的生物去除。本研究研究了碳硫比对硫介导细菌（SMB）与GAOs竞争的长期影响，探讨了在生物处理系统中使用S0部分替代碳并抑制GAOs增殖的可行性。4个平行生物反应器连续运行约100天，投喂由400、200、100和0 mg醋酸盐COD/L组成的底物，以及0.53 g S0/循环（相当于400 mg COD/L）；乙酸酯- cod浓度对应的C/S0比值分别为0.28 （R1）、0.14 （R2）、0.07 （R3）和0 （R4）。结果表明,相对较高的C / S0比率为0.28 (R1)和低C / S0比率为0.07 (R3)和0 (R4)增强1)代谢,尤其是厌氧减少S0 S2−形式,这是由硫酸/ sulfur-reducing细菌(SRB / S0RB,例如,Desulfobacter和Desulfuromonas),或2)S0氧化形成硫酸,由sulfur-oxidizing介导细菌(呜咽,例如,硫杆菌),以促进其增长在聚糖菌(如Candidatus_Competibacter)。然而，当C/S0比在R2中为0.14时，该反应器表现为GAO表型而不是SMB表型，因为GAO群落比SMB具有更高的醋酸吸收速率。因此，适量的S0添加有助于SMB对gao的竞争力。最后，分析了中小企业和高组织之间竞争的潜在机制。该研究提供了一种新的机制策略来促进SMB在缺碳废水中GAOs上的增殖。

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引用次数: 0

Promising porous materials for uranium extraction from seawater 有望从海水中提取铀的多孔材料

IF 6.3 3区综合性期刊 Q1 Multidisciplinary

Fundamental Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fmre.2024.03.004

Mengjie Hao , Yinghui Xie , Zhongshan Chen , Hui Yang , Geoffrey I.N. Waterhouse , Shengqian Ma , Xiangke Wang

Uranium extraction from seawater is a promising approach for ensuring continued uranium fuel supply to the nuclear power industry. However, extracting uranium by this route is challenging due to the low concentration of uranium, high ionic strength, and marine micro-organisms in seawater. Recently, a range of novel porous adsorbent materials have been developed for uranium extraction from ocean water. These adsorbents rely on specific pore characteristics and functional groups (hydroxyl, carboxyl, amidoxime, phosphate, etc.) to achieve a high affinity and selectivity for uranyl ions (UO₂²⁺) relative to other ions. Relying strongly on coordination principles, specific binding sites for uranium are assembled in these porous materials, with cooperative actions of several functional groups often used to achieve strong uranium capture and adsorption selectivity. In addition to traditional adsorbents, adsorption-photocatalytic and adsorption-electrocatalytic materials are also being pursued, which include both specific adsorption sites and photocatalytic or electrocatalytic moieties in their frameworks. These innovative strategies allow the conversion of uranyl ions into harvestable solid products (such as UO₂ or Na₂O(UO₃·H₂O)_x) and result in high extraction efficiencies together with good biofouling resistance. This perspective aims to capture some of the recent breakthroughs in the design of porous materials for selective uranium extraction from seawater.

从海水中提取铀是一种很有前途的方法，可以确保向核电工业持续供应铀燃料。然而，由于铀浓度低，离子强度高，海水中有海洋微生物，通过这种方法提取铀具有挑战性。近年来，人们开发了一系列新型的多孔吸附材料，用于从海水中提取铀。这些吸附剂依靠特定的孔隙特征和官能团（羟基、羧基、偕胺肟、磷酸盐等）来实现对铀酰离子（UO22+）相对于其他离子的高亲和力和选择性。依托配位原理，铀的特定结合位点在这些多孔材料中组装，通常使用几个官能团的协同作用来实现强的铀捕获和吸附选择性。除了传统的吸附剂外，吸附-光催化和吸附-电催化材料也在研究中，它们既包括特定的吸附位点，也包括其框架中的光催化或电催化部分。这些创新策略允许将铀酰离子转化为可收获的固体产品（如UO2或Na2O(UO3·H2O)x），并导致高萃取效率和良好的抗生物污染能力。这一观点旨在捕捉最近在多孔材料设计上的一些突破，这些材料用于从海水中选择性地提取铀。

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引用次数: 0

Multinuclear catalyst: An efficient tool for the synthesis of polyesters and polycarbonates by ring-opening polymerization 多核催化剂：开环聚合合成聚酯和聚碳酸酯的有效工具

IF 6.3 3区综合性期刊 Q1 Multidisciplinary

Fundamental Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fmre.2023.06.016

Qi Zhang , Chenyang Hu , Xuan Pang

Stemming from the simultaneous activation among multiple metal centers, many multinuclear catalysts show markedly higher reaction rate and selectivity on a wide array of reactions. Inspired by these seminal discoveries, there has been a recent surge of interest in developing polymerization catalysts with three or more metal centers to achieve high activity, stereoselectivity and sequence controllability. In the multinuclear catalysts, the electron-absorbing effect between neighboring Lewis acid atoms was discovered to significantly enhance a multitude of catalytic properties. At the same time, the modification of the organic ligand structure can dramatically change the catalytic activity of the catalyst, widen the scope of copolymerization systems and simplify the catalytic system. In this review, the state-of-the-art design strategies, successful applications and catalytic performance of multinuclear organometallic catalysts are overviewed.

由于多金属中心同时活化，许多多核催化剂在广泛的反应中表现出较高的反应速率和选择性。受这些开创性发现的启发，最近人们对开发具有三个或更多金属中心的聚合催化剂产生了浓厚的兴趣，以实现高活性、立体选择性和序列可控制性。在多核催化剂中，发现相邻路易斯酸原子之间的电子吸收效应显著提高了多种催化性能。同时，有机配体结构的修饰可以显著改变催化剂的催化活性，拓宽共聚体系的范围，简化催化体系。本文综述了多核有机金属催化剂的设计策略、成功应用及其催化性能。

引用次数: 0

Rethinking structural safety for a volatile century 为动荡的世纪重新思考结构安全

IF 6.3 3区综合性期刊 Q1 Multidisciplinary

Fundamental Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fmre.2025.07.014

Gang Xu, Tong Guo, Ai-Qun Li

Most structural design frameworks remain rooted in outdated assumptions: that hazards occur in isolation, materials do not degrade, and failure can be prevented through overdesign. In an era marked by accelerating climate volatility, cascading disasters, and mounting carbon constraints, such logic is increasingly untenable. From earthquake–flood sequences to heat-induced corrosion and permafrost collapse, modern infrastructure faces compound and evolving risks that current codes fail to anticipate. At the same time, conventional approaches often achieve safety through carbon-intensive construction, exacerbating the very environmental crises they must endure. This rethinking aligns with emerging paradigms in resilience engineering, disaster risk reduction, and adaptive infrastructure design, which similarly emphasize systems thinking, robustness, and long–term functionality under uncertainty. We argue for a fundamental redefinition of structural safety—one that prioritizes resilience over resistance, adaptability over rigidity, and sustainability over excess. This requires innovative tools (AI-driven diagnostics, lifecycle modeling frameworks), new materials (durable, repairable, low-carbon-footprint systems), and quantifiable metrics (recovery duration, embodied carbon emissions, residual functionality assessment). Structural engineers must now lead as strategists of climate-ready, socially responsive infrastructure. The goal of the next generation of design is not merely to ensure that structures survive,but that they serve, recover, and regenerate in a volatile century.

大多数结构设计框架仍然植根于过时的假设：危害是孤立发生的，材料不会降解，通过过度设计可以防止失效。在一个气候波动加速、灾害层叠、碳排放限制不断增加的时代，这样的逻辑越来越站不住脚。从地震洪水序列到热引起的腐蚀和永久冻土崩溃，现代基础设施面临着当前规范无法预测的复杂和不断变化的风险。与此同时，传统方法往往通过碳密集型建设来实现安全，这加剧了它们必须忍受的环境危机。这种重新思考与弹性工程、减少灾害风险和适应性基础设施设计中的新兴范例一致，这些范例同样强调系统思维、健壮性和不确定性下的长期功能。我们主张对结构安全进行根本性的重新定义——优先考虑弹性而不是阻力，优先考虑适应性而不是刚性，优先考虑可持续性而不是过度。这需要创新的工具（人工智能驱动的诊断、生命周期建模框架）、新材料（耐用、可修复、低碳足迹的系统）和可量化的指标（恢复时间、隐含碳排放、剩余功能评估）。结构工程师现在必须作为气候准备型、社会响应型基础设施的战略家发挥领导作用。下一代设计的目标不仅仅是确保结构的生存，而且要确保它们在动荡的世纪中服务、恢复和再生。

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引用次数: 0

Electrides: Emerging electronic materials for catalysis 电子材料：用于催化的新兴电子材料

IF 6.3 3区综合性期刊 Q1 Multidisciplinary

Fundamental Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fmre.2024.11.026

Fangkun Sun , Zhilin Guo , Yangfan Lu , Jiang Li , Tian-Nan Ye , Hideo Hosono , Jiazhen Wu

Electrides are emerging materials that exhibit a unique electronic structure, where electrons, unbound to specific atomic nuclei, act as anions within periodic lattice vacancies. The most characteristic feature of an electride is its low work function (Φ_WF < ∼3.5 eV), comparable to alkali metals, making it a highly promising electron donor in chemical reactions. In this paper, we summarized recent applications of variable electrides in various reactions, especially as catalysts. We thoroughly explored their unique behaviors and demonstrated their broad applicability in multiple reactions, such as selective hydrogenation, carbon-carbon coupling reactions, and electrocatalysis. In addition, we discussed the current challenges of electrides with active electron anions and highlighted their substantial potential for application in future advancements. This review provides fundamental guidance for utilizing high-performance electride-based materials in various chemical reactions, mainly focusing on heterogeneous catalysis.

电子是一种新兴的材料，具有独特的电子结构，其中不受特定原子核束缚的电子在周期性晶格空位中充当阴离子。电子化合物最显著的特征是其低功函数（ΦWF < ~ 3.5 eV），与碱金属相当，这使其成为化学反应中极有前途的电子供体。本文综述了近年来可变电极在各种反应中的应用，特别是作为催化剂的应用。我们深入探索了它们的独特行为，并证明了它们在多种反应中的广泛适用性，如选择性加氢反应、碳-碳偶联反应和电催化。此外，我们讨论了目前具有活性电子阴离子的电子化合物所面临的挑战，并强调了它们在未来发展中的巨大应用潜力。本文综述为高性能电极基材料在各种化学反应中的应用提供了基础指导，主要集中在多相催化方面。

引用次数: 0

Recent advances in ultrasound-targeted nanobubbles combined with cancer immunotherapy: Mechanisms, applications, and challenges 超声靶向纳米气泡联合癌症免疫治疗的最新进展：机制、应用和挑战

IF 6.3 3区综合性期刊 Q1 Multidisciplinary

Fundamental Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fmre.2024.10.017

Xueqin Chen , Lifan Xu , Chen Chen , Qizhao Huang , Jianjun Hu

Immunotherapy has revolutionized cancer treatment by leveraging the immune system to target tumors. However, its efficacy is often limited by the immunosuppressive tumor microenvironment and the development of resistance, leading to response rates of only 20%–30%. Ultrasound-targeted nanobubbles (UTN) combined with cancer immunotherapy present a promising solution to the limitations of current treatments. By utilizing the mechanical and biological effects of ultrasound, UTN improve drug delivery, reduce systemic toxicity, and modulate immune responses within the tumor microenvironment. Preclinical studies have shown that UTN combined with cancer immunotherapy can significantly increase the use of checkpoint inhibitors, tumor vaccines, and gene-based therapies, resulting in better tumor control. This article reviews the latest advancements, applications, and challenges of UTN combined with cancer immunotherapy, emphasizing the potential of UTN to overcome current therapeutic barriers and providing a forward-looking perspective on its translation into clinical practice.

免疫疗法通过利用免疫系统靶向肿瘤，彻底改变了癌症治疗。然而，其疗效往往受到免疫抑制肿瘤微环境和耐药发展的限制，导致有效率仅为20%-30%。超声靶向纳米泡（UTN）与癌症免疫疗法相结合，为解决当前治疗方法的局限性提供了一个有希望的解决方案。通过利用超声的机械和生物效应，UTN改善药物传递，降低全身毒性，调节肿瘤微环境内的免疫反应。临床前研究表明，UTN联合癌症免疫治疗可以显著增加检查点抑制剂、肿瘤疫苗和基因治疗的使用，从而更好地控制肿瘤。本文综述了UTN联合癌症免疫治疗的最新进展、应用和挑战，强调了UTN克服当前治疗障碍的潜力，并为其转化为临床实践提供了前瞻性的观点。

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引用次数: 0

Disruption of the nucleocapsid-RNA condensation by punicalagin is a broad-spectrum antiviral approach 槟榔苷破坏核衣壳- rna缩合是一种广谱抗病毒方法

IF 6.3 3区综合性期刊 Q1 Multidisciplinary

Fundamental Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fmre.2025.07.007

Shao-Zhen Jiang , Liu-Bing Yu , Beilei Shen , Jie Pan , Xiao-Wei Li , Rong-Bo Luo , Ling-Jun Fan , Bing-Shuo Qian , Yunkai Zhu , Ziqiao Wang , Yu Liu , Tingting Li , Xin-Ran Zhang , Yu Yu , Wen Xue , Tian Xia , Hong Cai , Qiu-Ying Han , Kai Wang , Xin Xu , Tao Li

The formation of liquid condensates by nucleocapsid (N) protein and viral RNA is a critical and highly conserved event in the life cycle of numerous viruses. Targeting this process emerges as a possible strategy to combat viral infections. Here, we discover that punicalagin, a natural compound derived from Punica granatum, exhibits potent pan-antiviral activity. Through a screening of 2799 compounds, we identified that punicalagin inhibits the formation of N-RNA condensations at nanomolar concentrations, resulting in significant inhibition of viral replication. The oral administration of punicalagin effectively dampens the viral load in tissues of mice infected with various viruses, such as SARS-CoV-2, vesicular stomatitis virus (VSV) and influenza A virus (IAV). Moreover, we show that punicalagin also blocks the virus-stimulated inflammation by targeting mitochondrial antiviral signaling protein (MAVS), thereby alleviating tissue damage and lethality in the infected animals. Thus, by reporting that punicalagin targets the conserved process across different viruses, our work suggests a new paradigm for developing antiviral therapies against both current and future viral threats.

核衣壳蛋白(N)与病毒RNA形成液体凝聚体是许多病毒生命周期中一个关键且高度保守的事件。针对这一过程成为对抗病毒感染的一种可能策略。在这里，我们发现从石榴中提取的天然化合物石榴苷具有强大的泛抗病毒活性。通过对2799种化合物的筛选，我们发现punicalagin在纳摩尔浓度下抑制N-RNA凝聚的形成，从而显著抑制病毒复制。口服punicalagin可有效抑制感染多种病毒（如SARS-CoV-2、水疱性口炎病毒（VSV）和甲型流感病毒（IAV））的小鼠组织中的病毒载量。此外，我们发现punicalagin还通过靶向线粒体抗病毒信号蛋白（MAVS）来阻断病毒刺激的炎症，从而减轻受感染动物的组织损伤和致死率。因此，通过报道punicalagin靶向不同病毒的保守过程，我们的工作为开发针对当前和未来病毒威胁的抗病毒治疗提供了新的范例。

{"title":"Disruption of the nucleocapsid-RNA condensation by punicalagin is a broad-spectrum antiviral approach","authors":"Shao-Zhen Jiang , Liu-Bing Yu , Beilei Shen , Jie Pan , Xiao-Wei Li , Rong-Bo Luo , Ling-Jun Fan , Bing-Shuo Qian , Yunkai Zhu , Ziqiao Wang , Yu Liu , Tingting Li , Xin-Ran Zhang , Yu Yu , Wen Xue , Tian Xia , Hong Cai , Qiu-Ying Han , Kai Wang , Xin Xu , Tao Li","doi":"10.1016/j.fmre.2025.07.007","DOIUrl":"10.1016/j.fmre.2025.07.007","url":null,"abstract":"<div><div>The formation of liquid condensates by nucleocapsid (N) protein and viral RNA is a critical and highly conserved event in the life cycle of numerous viruses. Targeting this process emerges as a possible strategy to combat viral infections. Here, we discover that punicalagin, a natural compound derived from Punica granatum, exhibits potent pan-antiviral activity. Through a screening of 2799 compounds, we identified that punicalagin inhibits the formation of N-RNA condensations at nanomolar concentrations, resulting in significant inhibition of viral replication. The oral administration of punicalagin effectively dampens the viral load in tissues of mice infected with various viruses, such as SARS-CoV-2, vesicular stomatitis virus (VSV) and influenza A virus (IAV). Moreover, we show that punicalagin also blocks the virus-stimulated inflammation by targeting mitochondrial antiviral signaling protein (MAVS), thereby alleviating tissue damage and lethality in the infected animals. Thus, by reporting that punicalagin targets the conserved process across different viruses, our work suggests a new paradigm for developing antiviral therapies against both current and future viral threats.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 1","pages":"Pages 535-547"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Harnessing multi-omics and machine learning for predicting immune checkpoint blockade responses: Advances, challenges, and future directions 利用多组学和机器学习预测免疫检查点阻断反应：进展、挑战和未来方向

IF 6.3 3区综合性期刊 Q1 Multidisciplinary

Fundamental Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fmre.2025.08.009

Shiwei Cao , Junwei Liu , Yixue Li

Immune checkpoint blockade (ICB) therapies have revolutionized cancer treatment, showing success across various cancer types. However, there is variability in response rates among different cancers and individual patients. This highlights the critical need for precise patient stratification. Machine Learning and Deep Learning models are increasingly utilized to predict ICB responses by integrating multi-omics data, such as clinical, genomic, radiomic, and transcriptomic information. This review outlines the key methodologies of these predictive models. It underscores their role in enhancing response prediction. We delve into the advanced mechanisms of ICB response and discuss the biological foundations that inform these models. This demonstrates how basic research informs clinical application. We aim to offer comprehensive insights into how artificial intelligence can optimize patient stratification for ICB therapy.

免疫检查点阻断（ICB）疗法已经彻底改变了癌症治疗，在各种癌症类型中都取得了成功。然而，不同癌症和个体患者的反应率存在差异。这突出了对精确患者分层的迫切需要。机器学习和深度学习模型越来越多地用于通过整合多组学数据（如临床、基因组、放射组学和转录组学信息）来预测ICB反应。本文概述了这些预测模型的主要方法。它强调了它们在增强反应预测方面的作用。我们深入研究了ICB反应的高级机制，并讨论了为这些模型提供信息的生物学基础。这证明了基础研究如何影响临床应用。我们的目标是为人工智能如何优化ICB治疗的患者分层提供全面的见解。

引用次数: 0

MULGONET: An interpretable neural network framework to integrate multi-omics data for cancer recurrence prediction and biomarker discovery MULGONET：一个可解释的神经网络框架，整合多组学数据，用于癌症复发预测和生物标志物发现

IF 6.3 3区综合性期刊 Q1 Multidisciplinary

Fundamental Research

Pub Date : 2026-01-01 DOI: 10.1016/j.fmre.2025.01.004

Wei Lan , Zhentao Tang , Haibo Liao , Qingfeng Chen , Yi-Ping Phoebe Chen , Zhaolei Zhang , Jianxin Wang

Multi-omics cancer data provides complementary views of tumorigenesis and progression. Technical challenges exist in integrating these heterogeneous data into deep learning models to better understand tumorigenesis and predict cancer recurrence. We herein propose a novel end-to-end deep learning method (MULGONET) for cancer recurrence prediction and biomarker discovery. First, MULGONET can effectively solve the curse of dimensionality and the lack of model interpretability in multi-omics data integration. Second, it explores interactions and regulatory relationships between genes and GO terms, thus providing biological insights. Benchmark results show that MULGONET outperforms other contemporary classification methods. It achieves AUPRs of 0.774 ± 0.015, 0.873 ± 0.003 and 0.702 ± 0.011 on the bladder, pancreatic and stomach cancer datasets, respectively. We also show that MULGONET can effectively identify prognostic genes and GO terms associated with cancer recurrence.

多组学癌症数据提供了肿瘤发生和进展的补充观点。将这些异构数据整合到深度学习模型中以更好地了解肿瘤发生和预测癌症复发存在技术挑战。在此，我们提出了一种新的端到端深度学习方法（MULGONET），用于癌症复发预测和生物标志物发现。首先，MULGONET可以有效解决多组学数据集成中存在的维数困扰和模型可解释性不足的问题。其次，它探索基因与氧化石墨烯术语之间的相互作用和调控关系，从而提供生物学见解。基准测试结果表明，MULGONET优于其他当代分类方法。该方法在膀胱癌、胰腺癌和胃癌数据集上的aupr分别为0.774±0.015、0.873±0.003和0.702±0.011。我们还发现MULGONET可以有效地识别与癌症复发相关的预后基因和GO术语。

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引用次数: 0

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