Modelling and optimizing combination therapeutic strategies for KRAS- and EGFR-mutant lung cancer [0.03%]
用于KRAS和EGFR基因突变型肺癌的联合治疗策略的研发与优化模型
Lanqi Wu,Ruocheng Yu,Minghui Yao et al.
Lanqi Wu et al.
Non-small cell lung carcinoma (NSCLC) is well-known for its high incidence (about 80% of lung cancer) and genetic heterogeneity. Personalized driver mutations such as EGFR and KRAS have established targeted therapies with kinase inhibitors,...
The novel design of a multi-epitope vaccine candidate against the dengue virus using advanced immunoinformatics and structural analysis [0.03%]
基于先进免疫信息学和结构分析的登革热病毒多表位疫苗候选设计的新方法
Mohsen Karami Fath
Mohsen Karami Fath
Background: Dengue virus (DENV) remains a major public health challenge with limited vaccine options, and current licensed vaccines exhibit restricted efficacy and safety concerns in certain populations. Advanced immunoinformatics approache...
Cancer classification and functional pathway discovery using TCGA transcriptomic profiles: A matched case-control framework [0.03%]
基于TCGA转录组数据的癌症分类及功能通路发现：一种配对病例对照框架方法
Jie-Huei Wang,Tzung-Ying Guo,Yen-Yi Pai et al.
Jie-Huei Wang et al.
Leveraging high-dimensional transcriptomic data from The Cancer Genome Atlas (TCGA) for cancer classification holds critical significance for advancing precision oncology. Matched Case-control Design (MCCD), by pairing similar cases with co...
Editorial: Guidelines for Credible Machine Learning in Computational Biology [0.03%]
观点：计算生物学中可信机器学习的指导原则
Limsoon Wong
Limsoon Wong
COLDLNA: Enhancing long-range node features extraction to improve robust generalization ability of drug-target binding affinity prediction in cold-start scenarios [0.03%]
基于冷启动场景下增强长程节点特征提取以提高药物-靶点结合亲和力预测的稳健泛化能力：COLDLNA模型
Ting Xu,Shaohua Jiang,Weibin Ding et al.
Ting Xu et al.
Recent advances in deep learning have driven significant progress in drug-target affinity (DTA) prediction. However, many models do not effectively utilize drug molecular graphs or capture long-range protein features, limiting their predict...
Biao Liu,Mengru Shen,Meiling Zhao
Biao Liu
In exploring optimal strategies for immunotherapy in glioblastoma (GBM), one of the main challenges is enhancing treatment response. To better understand the dynamics of tumor-immune interactions, one applied Bayesian methods to estimate th...
NanoporeInspect: An interactive tool for evaluating nanopore sequencing quality and ligation efficiency [0.03%]
纳米孔检测：评估纳米孔测序质量和连接效率的交互式工具
Maria A Grigoryeva,Maria G Khrenova,Maria I Zvereva
Maria A Grigoryeva
In nanopore sequencing, especially in SELEX-based aptamer discovery, the correct ligation of artificial sequences (primers, adapters, barcodes) is crucial for library quality. Errors at this stage can lead to misidentification of sequences ...
Metagenomic sequence classification based on local sensitive hashing and Bi-LSTM [0.03%]
基于局部敏感哈希和Bi-LSTM的元基因组序列分类方法研究
Yan Qian,Lei Xiao,Yiding Zhou et al.
Yan Qian et al.
Current metagenomic classification methods are limited by short k-mer lengths and database dependency, resulting in insufficient taxonomic resolution at the species and genus level. This study proposes the first method integrating Locality-...
Visual-SELEX: A technology ensemble for evaluating aptamer structural similarity via 3D visual spatial conformational analysis [0.03%]
基于三维空间构象分析的视觉评价适配体结构相似性技术体系 Visual-SELEX
Nijia Wang
Nijia Wang
To date, the study of single-stranded DNA (ssDNA) similarity has focused mainly on the similarity of bases in the same position in the nucleic acid sequence. However, focusing only on the similarity of base sequences has limitations. This s...
Deep learning inference of miRNA expression from bulk and single-cell mRNA expression [0.03%]
利用深度学习从批量和单细胞mRNA表达推断miRNA表达
Rony Chowdhury Ripan,Tasbiraha Athaya,Xiaoman Li et al.
Rony Chowdhury Ripan et al.
Studying miRNA activity at the single-cell level presents a significant challenge due to the limitations of existing single-cell technologies in capturing miRNAs. To address this, we introduce two deep learning models: Cross-modality (CM) a...