MUUMI: an R package for statistical and network-based meta-analysis for multi-omics data integration [0.03%]
MUUMI包：用于多组学数据整合的统计和网络元分析的R软件包
Simo Inkala,Michele Fratello,Giusy Del Giudice et al.
Simo Inkala et al.
Contrastive learning in both structure and function spaces improve drug-target interaction prediction [0.03%]
结构和功能空间的对比学习可改善药物靶标相互作用预测能力
Yongqing Zhang,Le Chen,Hong Luo et al.
Yongqing Zhang et al.
piRAT: piRNA Annotation Tool for annotating, analyzing, and visualizing piRNAs [0.03%]
piRAT：一个用于注释、分析和可视化piRNA的工具
Dominik Robak,Guillem Ylla
Dominik Robak
Sample size requirements for machine learning classification of binary outcomes in bulk RNA-Seq data [0.03%]
基于_bulk_RNA-Seq_数据的二分类结果的机器学习样本量要求
Scott Silvey,Amy Olex,Shaojun Tang et al.
Scott Silvey et al.
Srnc: semi-supervised learning for robust novel cell-type identification in single cell RNA sequencing data [0.03%]
基于单细胞RNA测序数据的鲁棒新细胞类型识别的半监督学习方法
Thi Van Nguyen,Van Hoan Do,Vu-Linh Nguyen
Thi Van Nguyen
Transplatformer: translating toxicogenomic profiles between generations of platforms [0.03%]
跨平台的毒基因组型式转换器：在不同版本平台间翻译毒基因组图谱
Guojing Cong,Frank Chao,Daniel L Svoboda et al.
Guojing Cong et al.
Background: Transcriptomic profiling technologies have advanced the analysis of biological and toxicological responses. However, substantial differences in probe design, dynamic range, gene coverage, and preprocessing pip...
SPAC: a scalable and integrated enterprise platform for single-cell spatial analysis [0.03%]
SPAC：单细胞空间分析的可扩展集成企业平台
Fang Liu,Rui He,Thomas Sheeley et al.
Fang Liu et al.
Background: Advancements in spatially resolved single-cell technologies are transforming our understanding of tissue architecture and disease microenvironments. However, analyzing the resulting high-dimensional, gigabyte-...
MIMI: Molecular Isotope Mass Identifier for stable isotope-labeled Fourier transform ultra-high mass resolution data analysis [0.03%]
MIMI：傅里叶变换超高质量分辨率稳定同位素标记数据的分子同位素质量识别器
Nabil Rahiman,Michael A Ochsenkühn,Shady A Amin et al.
Nabil Rahiman et al.
Integration of bulk RNA-seq pipeline metrics for assessing low-quality samples [0.03%]
整合批量RNA序列数据以评估低质量样本的指标体系
Samuel Hamilton,Gaurav Gadhvi,Tyler Therron et al.
Samuel Hamilton et al.
EDEN: multiscale expected density of nucleotide encoding for enhanced DNA sequence classification with hybrid deep learning [0.03%]
EDEN：用于增强DNA序列分类的杂化深度学习多尺度预期核苷酸密度编码方法
Saman Zabihi,Sattar Hashemi,Eghbal Mansoori
Saman Zabihi
Background: DNA sequences are fundamental carriers of genetic information, and their accurate classification is essential for understanding gene regulation, disease mechanisms, and translational genomics. Existing encodin...