MOLT: multi-object and lineage tracking in 2D and 3D biomedical time-series imaging [0.03%]
MOLT：二维和三维生物医学时间序列图像中的多目标和谱系追踪
Ben Bausch,Mina Naseh,Goncalo Gaspar Alves et al.
Ben Bausch et al.
Roberto Pagliarini,Francesco Nascimben,Alberto Policriti
Roberto Pagliarini
Background: Allele Specific Expression analysis is an important tool for integrating genome and transcriptome data. It quantifies expression variation between the two haplotypes of a diploid individual distinguished by he...
Machine learning for multi-omics data integration in crop improvement: a systematic review [0.03%]
作物改良多组学数据整合的机器学习方法系统综述
Alemu Tsega,Destaw Mullualem
Alemu Tsega
Background: This systematic review synthesizes applications of machine learning (ML) for multi-omics data integration in crop improvement, evaluating its dual potential to enhance predictive accuracy for selection (breedi...
Bayu Brahmantio,Krzysztof Bartoszek,Etka Yapar
Bayu Brahmantio
Background: Continuous traits evolution of a group of taxa that are correlated through a phylogenetic tree is commonly modelled using parametric stochastic differential equations to represent deterministic change of trait...
DHGCMDA: a dual-view heterogeneous graph contrastive learning framework for miRNA-disease association type prediction [0.03%]
基于双视图异构图对比学习的微卫星分子-疾病关联类型预测方法
Yan Sun,Fanyu Zhang,Shijia Yan et al.
Yan Sun et al.
A comparative analysis of topological domain callers over RNA-associated interactome [0.03%]
基于RNA互作网络的拓扑域预测方法比较分析
Tuna Alaygut,Emre Sefer
Tuna Alaygut
Background: Topological domains (TADs) are consecutive genomic locations with denser local interactions to a certain extent, and they are important for cellular gene expression control and modulation. TADs were first iden...
AutoPrompt-SAM3D: integrated generation and selection for SAM2-based 3D medical segmentation [0.03%]
AutoPrompt-SAM3D：基于SAM2的三维医学分割的生成与选择集成方法
Wanqiu Cheng,Jintao Tang,Ting Wang et al.
Wanqiu Cheng et al.
Background: The potential of Segment Anything Model 2 (SAM2) for 3D medical image segmentation via video-stream processing is currently constrained by its reliance on manual prompts. While existing research employs auxili...
MAGMDA: a multi-order adaptive graph-based miRNA-disease association prediction model [0.03%]
基于多阶自适应图的miRNA-疾病关联预测模型 MAGMDA
Xiujuan Guo,Ning Zhao,Guohua Wang et al.
Xiujuan Guo et al.
Triad-LMF: a hierarchical low-rank multimodal fusion framework for robust cancer subtype classification using multi-omics data [0.03%]
基于多组学数据的稳健癌症亚型分类的层次低秩多模态融合框架 Triad-LMF
Xingyue Tan,Xiran Chen,Renjie Tian et al.
Xingyue Tan et al.
RCDRank: a web server to prioritize regulated cell death modalities [0.03%]
RCDRank：一个优先级调节性细胞死亡方式的网络服务器
Nan Zhou,Tong Yin,Huiran Sun et al.
Nan Zhou et al.
Background: Regulated cell death (RCD) maintains cellular homeostasis and tissue integrity, playing a pivotal role in both health and disease. A variety of RCD subroutines have been identified, each characterized by disti...