Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes [0.03%]
人工智能与基因组学的整合：精神分裂症表型的预测CNN模型
Guilherme Henriques,Maryam Abbasi,Daniel Martins et al.
Guilherme Henriques et al.
This study explores the use of deep learning to analyze genetic data and predict phenotypic traits associated with schizophrenia, a complex psychiatric disorder with a strong hereditary component yet incomplete genetic characterization. We ...
Automated mitosis detection in stained histopathological images using Faster R-CNN and stain techniques [0.03%]
基于Faster R-CNN和染色技术的染色病理图像中细胞有丝分裂的自动检测方法研究
Jesús García-Salmerón,José Manuel García,Gregorio Bernabé et al.
Jesús García-Salmerón et al.
Accurate mitosis detection is essential for cancer diagnosis and treatment. Traditional manual counting by pathologists is time-consuming and may cause errors. This research investigates automated mitosis detection in stained histopathologi...
Predicting DDI-induced pregnancy and neonatal ADRs using sparse PCA and stacking ensemble approach [0.03%]
基于稀疏主成分分析和堆叠集成算法的药物相互作用所致妊娠及新生儿期不良反应预测研究
Anushka Chaurasia,Deepak Kumar,Yogita
Anushka Chaurasia
Predicting Drug-Drug interaction (DDI)-induced adverse drug reactions (ADRs) using computational methods is challenging due to the availability of limited data samples, data sparsity, and high dimensionality. The issue of class imbalance fu...
A ViTUNeT-based model using YOLOv8 for efficient LVNC diagnosis and automatic cleaning of dataset [0.03%]
基于ViTUNet和YOLOv8的LVNC高效诊断及数据集自动清洗模型
Salvador de Haro,Gregorio Bernabé,José Manuel García et al.
Salvador de Haro et al.
Left ventricular non-compaction is a cardiac condition marked by excessive trabeculae in the left ventricle's inner wall. Although various methods exist to measure these structures, the medical community still lacks consensus on the best ap...
Bioinformatic analysis of the regulatory potential of tagging SNPs provides evidence of the involvement of genes encoding the heat-resistant obscure (Hero) proteins in the pathogenesis of cardiovascular diseases [0.03%]
生物信息学分析标记SNPs的调控潜力提供了心血管疾病发病机制中编码热抵抗型隐匿蛋白(Hero)基因参与的证据
Vladislav V Shilenok,Irina V Shilenok,Vladislav O Soldatov et al.
Vladislav V Shilenok et al.
Although multiple aspects of molecular pathology underlying cardiovascular diseases (CVDs) have been revealed, the complete picture has yet to be elucidated. In this respect, annotation of the novel links between genes and atherosclerosis i...
Survival risk prediction in hematopoietic stem cell transplantation for multiple myeloma [0.03%]
造血干细胞移植治疗多发性骨髓瘤的生存预测模型
Jose María Belmonte,Miguel Blanquer,Gregorio Bernabé et al.
Jose María Belmonte et al.
This paper investigates the application of Survival Analysis (SA) techniques to forecast outcomes after autologous Hematopoietic Stem Cell Transplantation (aHSCT) for Multiple Myeloma (MM). By leveraging six SA models, we examine their pred...
Data management in balance - a decade of balancing pragmatism, sustainability and innovation at plant research center IPK Gatersleben [0.03%]
平衡管理数据——在植物研究机构IPK Gatersleben十年间务实、可持续与创新的实践
Danuta Schüler,Matthias Lange,Thomas Altmann et al.
Danuta Schüler et al.
The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben is a leading international plant science institute specializing in biodiversity and crop plant performance research. Over the last decade, all phases of the r...
Towards a more accurate and reliable evaluation of machine learning protein-protein interaction prediction model performance in the presence of unavoidable dataset biases [0.03%]
在不可避免的数据集偏差存在的情况下，提高机器学习蛋白质-蛋白质相互作用预测模型性能评价的准确性和可靠性
Alba Nogueira-Rodríguez,Daniel Glez-Peña,Cristina P Vieira et al.
Alba Nogueira-Rodríguez et al.
The characterization of protein-protein interactions (PPIs) is fundamental to understand cellular functions. Although machine learning methods in this task have historically reported prediction accuracies up to 95 %, including those only us...
Fcodes update: a kinship encoding framework with F-Tree GUI & LLM inference [0.03%]
Fcodes更新：带有F-树GUI和LLM推理的亲缘关系编码框架
Daniel Pérez-Rodríguez,Roberto C Agís-Balboa,Hugo López-Fernández
Daniel Pérez-Rodríguez
Family structures play a crucial role in personal development, social dynamics, and mental health. Traditional systems for encoding genealogical data, such as Ahnentafel and the Register System, offer methods to document lineage but face li...
Predicting precursors of plant specialized metabolites using DeepMol automated machine learning [0.03%]
使用DeepMol自动机器学习预测植物特异代谢物的前体
João Capela,João Cheixo,Dick de Ridder et al.
João Capela et al.
Plants produce specialized metabolites, which play critical roles in defending against biotic and abiotic stresses. Due to their chemical diversity and bioactivity, these compounds have significant economic implications, particularly in the...