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BioData Mining

IF6.1

论文数706

被引数1456

期刊论文 706

发表时间

SRAminer: a tool for Sequence Read Archive data mining that rapidly finds sequence matches to hidden targets SRAminer：一种用于序列读取存档数据挖掘的工具，可快速找到与隐藏目标匹配的序列

BioData Mining

IF6.1

2026-11-03

OAAI

Era Sharma; Amanda M. V. Brown

Development and validation of a machine learning prediction model for pediatric sepsis-associated acute kidney injury: a multicenter cohort study 机器学习预测儿科脓毒症相关急性肾损伤模型的开发与验证：一项多中心队列研究

BioData Mining

IF6.1

2026-10-31

OAAI

Junming Huo; Yuhui Wu; Lijuan Zhu; Yujuan Wang; Liang Zhou; Yi Tao; Chunlian Shi; Li Xiao; Ximing Xu; Jing Li; Liping Tan; Shaojun Li

Adapting multiscale EDN representation into sequence-specific node embeddings for De Bruijn graph learning 将多尺度EDN表示适配为序列特异性的节点嵌入用于德布鲁因图学习

BioData Mining

IF6.1

2026-10-23

OAAI

Saman Zabihi; Eghbal Mansoori; Sattar Hashemi

Deep learning-based EEG seizure classification using comparative time–frequency spectral representations 基于深度学习的比较时频谱表示的EEG癫痫分类

BioData Mining

IF6.1

2026-10-22

OAAI

Praveen Mewada; K. M. Siddartha; P. Sriram Kumar; Ryan Gabriel; V. V. S. N. Sainidhi; Rajamanickam Yuvaraj; John Thomas; P. A. Karthik; Jac Fredo Agastinose Ronickom

ESMF: Elastic Signature-based Matrix Factorization for Robust Cellular Deconvolution ESMF：基于弹性签名的矩阵分解方法用于鲁棒细胞解卷积

BioData Mining

IF6.1

2026-10-17

OAAI

Shuchao Li; Yunwen Mou; Bingjie Yuan; Jinting Guan; Guoli Ji

scCIF: contribution-informed fusion for single-cell multi-omics clustering scCIF：基于贡献度信息的单细胞多组学聚类融合

BioData Mining

IF6.1

2026-10-17

OAAI

Hongwei Liu; Yunhao Guo; Hong Liang; Xiaohui Yao; Shan Cong

GenRefBR: bridging the genetic information gap for Brazilian biodiversity GenRefBR：弥合巴西生物多样性遗传信息差距

BioData Mining

IF6.1

2026-10-09

OAAI

Gisele Lopes Nunes; Romildo Oliveira Souza Júnior; Bruno Marques Silva; Alexandre Aleixo; Renato Renison Moreira-Oliveira

scDECA: integrating gene-cell interactions with global priors and local structures in single-cell transcriptomics scDECA: 整合单细胞转录组学中基因-细胞相互作用与全局先验和局部结构

BioData Mining

IF6.1

2026-10-08

OAAI

Myeongbin Oh; Minsik Oh

An evolutionary guided framework for robust latent representation learning in gastrointestinal endoscopy images: EvoLatent-FS 基于进化引导的框架用于胃肠内镜图像中鲁棒潜在表示学习：EvoLatent-FS

BioData Mining

IF6.1

2026-10-08

OAAI

Pınar Karadayı Ataş

Identifying clinical diagnostic trajectories associated with suicide death using temporal sequence mining of linked claims and mortality data 利用关联理赔和死亡数据的时序序列挖掘识别与自杀死亡相关的临床诊断轨迹

BioData Mining

IF6.1

2026-10-06

OAAI

Anas Belouali; Christopher Kitchen; Emily Haroz; Harold Lehmann; Paul S. Nestadt; Holly C. Wilcox; Hadi Kharrazi

Patent-augmented knowledge graph drug repurposing for duchenne muscular dystrophy: a time-sliced evaluation 专利增强知识图谱药物重定位用于杜氏肌营养不良症：基于时间切片的评估

BioData Mining

IF6.1

2026-09-22

OAAI

Fatih Uludağ¹; H. Eray CELİK¹

Deep learning on longitudinal chest CT predicts treatment outcomes in multidrug-resistant tuberculosis: a multicentre retrospective study 基于纵向胸部CT的深度学习预测耐多药结核病治疗效果：一项多中心回顾性研究

BioData Mining

IF6.1

2026-09-21

OAAI

Jie Li; Jinliang Zhang; Tongshun Xie; Meijuan Xu; Xianghua Wang; Yanhong Zhou; Qilong Zhang; Xinyi Kong; Huifang Qu; Maoshui Wang

scTrans-SVD: dual-view learning with a low-rank representation for label-limited cell type annotation in single-cell transcriptomics scTrans-SVD：单细胞转录组学中标签有限细胞类型注释的低秩表示双视图学习

BioData Mining

IF6.1

2026-09-18

OAAI

Sanghun Sel; Juseong Kim; Jason Hilton; Giltae Song

Automated lung tumor segmentation using enhanced U-Net architectures: a multi-backbone comparative study for clinical applications 基于增强U-Net架构的肺肿瘤自动分割：面向临床应用的多种骨干网络比较研究

BioData Mining

IF6.1

2026-09-18

OAAI

Peren Jefri Canatalay; Alireza Asghari; Rabehe Ostadhassan; Elaheh Asghari; Hossein Najafzadeh

Differentiable latent structure discovery for interpretable forecasting in clinical time series 临床时间序列中可解释预测的可微分潜在结构发现

BioData Mining

IF6.1

2026-09-18

OAAI

Ivan Lerner; Jean Feydy; Alexandre Kalimouttou; Anita Burgun; Francis Bach

From visual saliency to anatomical explanation: generating textual diagnostic reports from brain MRIs with saliency-grounded LLMs 从视觉显著性到解剖学解释：利用显著性基础的LLMs从脑部MRI生成文本诊断报告

BioData Mining

IF6.1

2026-09-14

OAAI

Paul Valery Nguezet; Elie Tagne Fute; Yusuf Brima; Benoit Martin Azanguezet; Marcellin Atemkeng

A framework for cognitive personality priors in agentic AI: the role of personas in autonomous team science 代理式AI中认知人格先验的框架：人设角色在自主团队科学中的作用

BioData Mining

IF6.1

2026-09-08

OAAI

Asma J. Nawaz; Jake R. Patock; Itzel Valencia; Binglan Li; Jacob S. Berkowitz; Stefany Coxe; Itai Danovitch; Nicholas P. Tatonetti; Jason H. Moore

Hierarchical sparse Bayesian multitask learning for disease prediction in pooled microbiome studies 基于层次稀疏贝叶斯的多任务学习方法在微生物组混合研究中的疾病预测

BioData Mining

IF6.1

2026-09-02

OAAI

Haonan Zhu; Andre R. Goncalves; Car Reen Kok; Camilo Valdes; Hiranmayi Ranganathan; Boya Zhang; Jose Manuel Martí; Monica K. Borucki; Nisha J. Mulakken; James B. Thissen; Crystal Jaing; Alfred Hero; Nicholas A. Be

A machine learning–based prediction model for early pregnancy loss after IVF/ICSI: a retrospective cohort study 基于机器学习的IVF/ICSI后早期妊娠丢失预测模型：一项回顾性队列研究

BioData Mining

IF6.1

2026-09-01

OAAI

Hu Li; Ruonan Zhang; Yiran Li

GraphRAG-ADR: a knowledge graph–enhanced approach for extracting Adverse Drug Reactions (ADRs) from patient narratives GraphRAG-ADR：一种基于知识图谱增强的方法，用于从患者叙述中提取不良反应（ADRs）

BioData Mining

IF6.1

2026-08-17

OAAI

Oumayma Elbiach; El Habib Nfaoui; Hanane Grissette