default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBriefings in Bioinformatics, Volume 27
Volume 27, Number 1, 2026
- Yu Zhang
, Ming Li, David M. Haas, C. Noel Bairey Merz, Tsegaselassie Workalemahu, Kelli Ryckman, Janet M. Catov, Lisa D. Levine, Alexa Freedman, George R. Saade, Jiaqi Hu, Hongyu Zhao, Xihao Li, Nianjun Liu, Qi Yan:
A novel two-sample Mendelian randomization framework integrating common and rare variants: application to assess the effect of HDL-C on preeclampsia risk. - Wenli Zhai, Lingyun Sun, Wenwei Fang, Yidan Dong, Chunxiao Cheng, Yuanjiao Liu, Yuan Zhou, Jiadong Ji, Lang Wu, An Pan, Eric R. Gamazon, Xiong-Fei Pan, Dan Zhou:
Cross-ancestry information transfer framework improves protein abundance prediction and protein-trait association identification. - Lena Maria Hackl, Fabian Neuhaus, Sabine Ameling, Uwe Völker, Jan Baumbach, Olga Tsoy:
Detection of alternative splicing: deep sequencing or deep learning? - Yonglin Peng, Xinhua Liu, Jun Wu, Sang Lin, Shengxuan Zhan, Hua Li, Ju Wang, Xiaodong Zhao:
EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites. - Minrui Xu, Manman Lu, Peng Liu, Siwen Zhang, Lanming Chen, Qi Liu, Yong Lin, Lu Xie:
ProTCR: a protein language model-driven framework for decoding TCR-antigen recognition toward precision immunotherapies. - Yosra Berrouayel, Luis del Peso:
Enhancing TFEA.ChIP with ENCODE regulatory maps for generalizable transcription factor enrichment. - Chenjie Feng, Xiaowen Sun, Xintao Song, Lei Bao, Weikang Gong, Renmin Han:
DeepRMSF: a deep learning-based automated approach for predicting atomic-level flexibility in RNA structure. - Ruhai Chen, Jiekai Chen, Lingling Shi, Jiangping He:
iceDP: identifying inter-chromatin engagement via density peaks clustering algorithm. - Youshu Cheng, Chen Lin, Hongyu Li, Ke Xu, Hongyu Zhao:
UBD: incorporating uncertainty in cell type proportion estimates from bulk samples to infer cell-type-specific profiles. - Dong Chen, Yuquan Wang, Dapeng Shi, Yunlong Cao, Yue-Qing Hu:
MACFIV: a novel framework for nonlinear causal inference in the body mass index-hypertension relationship with many weak and pleiotropic genetic instruments. - Wonkyeong Jang, Woong-Hee Shin:
CoBRA: compound binding site prediction using RNA language model. - Zhen Tian, Xiaojiao Wei, Zhengzheng Lou, Zhixia Teng, Shouli Fu:
Adaptive multi-view information bottleneck for multi-omics data clustering. - Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens:
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. - Sang-Pil Cho, Young-Rae Cho:
GRAFT: a graph-aware fusion transformer for cancer driver gene prediction. - Bingyan Wang, Heng Hu, Runtian Gao, Guohua Wang, Tao Jiang:
GFSeeker: a splicing-graph-based approach for accurate gene fusion detection from long-read RNA sequencing data. - Can Shi, Yumei Li, Jing Guo, Qiuling Chen, Tingting Cao, Sha Liao, Ao Chen, Mei Li, Ying Zhang:
CSRefiner: a lightweight framework for fine-tuning cell segmentation models with small datasets. - Jiayi Li, Shenglun Chen, Zhixing Wu, Haozhe Wang, Rong Xia, Jia Meng, Yuxin Zhang:
CircRM: profiling circular RNA modifications from nanopore direct RNA sequencing. - Bosheng Song, Jiayi Zhang, Ying Liu, Yuansheng Liu, Jing Jiang, Sisi Yuan, Xia Zhen, Yiping Liu:
A systematic review of molecular representation learning foundation models. - Inas Bosch, Barbara Gravel, Alexandre Renaux, Ann Nowé, Maris Laan, Tom Lenaerts:
Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations. - Xunuo Zhu, Wenyi Zhao, Siqi Wang, Jingwen Yang, Jingqi Zhou, Binbin Zhou, Ji Cao, Bo Yang, Zhan Zhou, Xun Gu:
Identification of cancer mini-drivers by deciphering selective landscape in the cancer genome.
Volume 27, Number 2, 2026
- Zhihao Wang, Sheng Wang, Jingjing Guo, Yuguang Mu, Xiangdong Liu, Liangzhen Zheng, Weifeng Li:
Could statistical potential models achieve comparable or better performance than deep learning models? - Vincenzo Laveglia, Cosimo Ciofalo, Enrico Morelli, Claudia Andreini, Antonio Rosato:
Master of Metals2: a graph neural network based architecture for the prediction of zinc binding sites in protein structures. - Jing Wang, Junfeng Xia, Yansen Su, Chun-Hou Zheng:
scSCCNIA: similarity matrix based contrastive clustering with neighbor information aggregation for single-cell RNA sequencing data. - Publisher's Note: Addendum to Volume 26, Issue Supplement 1, December 2025, International Conference on Genome Informatics ISCB-Asia 2025 Abstract Book.
- Sandeep Acharya, Vaha Akbary Moghaddam, Wooseok J. Jung, Yu S. Kang, Shu Liao, Michael A. Province, Michael R. Brent:
Finding Significant Hits in Networks: a network-based tool for analyzing gene-level P -values to identify significant genes missed by standard methods. - Lotta Eriksson, Eszter Lakatos:
Sensitive detection of copy number alterations in low-pass liquid biopsy sequencing data. - Cheng Zhong, Siqi Jiang, Zhi Wei:
Integrating feature selection with unsupervised deep embedding for clustering single-cell RNA-seq data. - Jingzhan Lu, Johan Hilge Thygesen, Robin N. Beaumont, Michael N. Weedon, Harry D. Green:
Impact of control selection strategies on GWAS results: a study of prostate cancer in the UK Biobank. - Ashitha Washington, Ravindra Kumar:
Machine Learning Driven Discovery of Ribosomal Biomarkers in PCOS. 2- - Shuang-Hao Yang, Hua He, Shuyu Hou, Tuanfeng Yang, Zehao Yin, Hong-Yu Zhang, Weiyue Gu:
ML-ExonCNV: a robust XGBoost multi-expert ensemble framework for rare exon CNV detection in whole-exome sequencing data. - Mingqing Liu, Jinhui Xu, Ji Liu:
A progressive fine-tuning framework with dynamic parameter selection for low-resource peptide-GPCR interaction prediction. - Yang Deng, Jinhao Que, Guangfu Xue, Yideng Cai, Wenyi Yang, Yilin Wang, Yi Hui, Zuxiang Wang, Yi Lin, Wenyang Zhou, Zhaochun Xu, Qinghua Jiang, Haoxiu Sun:
AI-driven computational methods and benchmarking for T-cell antigen identification. - He Wang, Yikun Zhang, Jie Chen, Jian Zhan, Yaoqi Zhou:
Zero-shot benchmarking of RNA language models in structural, functional, and evolutionary learning. - Qiong Chen, Boliang Zhang, Chen Peng, Jiajun Huang, Zhen Liu, Xiaotao Shen, Chao Jiang:
Kun-peng enables scalable and accurate pan-domain metagenomic classification. - Daohong Gong, Xiaowei Xie, Jianxin Tang, Shiliang Li, Honglin Li:
Transformer-based multidimensional feature fusion for accurate prediction of lipid nanoparticles transfection efficiency. - Lingyu Li, Wai-Ki Ching, Zhi-Ping Liu:
Prognostic biomarker discovery via a connected network-constrained Cox proportional hazards model. 1- - Sunil Nagpal:
Supervisory signals are intriguingly high in even simple features for predicting anticancer effect of antibody drug conjugates. - Paramita Roy, Dibakar Roy, Sudipto Bhattacharjee, Abhirupa Ghosh, Sudipto Saha:
MDPD reveals specific microbial signatures in human pulmonary diseases. - Huasen Jiang, Xiaoyu Huang, Xiangpeng Bi, Wenjian Ma, Haibo Ni, Zhiqiang Wei, Pin Sun, Henggui Zhang, Shugang Zhang:
Artificial intelligence-enabled multi-scale virtual cell: perspective, challenges, and opportunities. - Yiyi Yu, Jiyuan Yang, Ping-An He, Xiaoqi Zheng:
Castl: robust identification of spatially variable genes in spatial transcriptomics via an ensemble-based framework. - Yongli Peng, Yujing Deng, Menghan Liu, Zhiyuan Liu, Ya-Hui Li, Xiang-Yu Zhao, Dong Xing, Jinzhu Jia, Hao Ge:
scDIAGRAM: detecting chromatin compartments from individual single-cell Hi-C matrix without imputation or reference features. - Lihui Jin, Zhenyuan Han, Rebecca Hannah, Hongyu Shao, Junxin Huang, Shiying Wang, Weibin Zhang, Jiang Lin, Kun Sun, Yu Yu:
Computational identification of lineage-committed precursors in mammalian organogenesis reveals a novel hematopoietic enhancer regulating Bhlhe41 expression. - Bui Tien Thanh, Yoichi Kurumida, Kaito Kobayashi, Michiaki Hamada, Tomoshi Kameda:
Differentiation of RNA-protein docking structures through molecular dynamics simulation and machine learning methods. - M. D. Youshuf Khan Rakib, Muhammad Habibulla Alamin, Jiamu Li, Sheikh Sohan Mamun, Kaleb Amsalu Gobena, Shengbing Ren:
KANPM-DTA: improving drug-target affinity prediction with Kolmogorov-Arnold networks and pretrained models. - Sudipto Baul, Naima Ahmed Fahmi, Guangyu Wang, Hao Zheng, Ahmed Louri, Jeongsik Yong, Wei Zhang:
EpGAT: integrating epigenetics and 3D genome structure to predict alternative splicing and polyadenylation. - Chenyu Ren, Daihai He, Jian Huang:
De novo functional protein sequence generation: overcoming data scarcity through regeneration and large language models. - Alexa H. Beachum, Xue Xiao, Yuansheng Zhou, Qiwei Li, Guanghua Xiao, Lin Xu:
Advances in predicting omics profiles from imaging data. - Chuyun Zhang, Kei Hang Katie Chan:
An integrative multi-omics framework for decoding microglial ecosystems in Alzheimer's disease. 3- - Juntao Deng, Miao Gu, Pengyan Zhang, Tao Liu, Guansong Hu, Mingyu Dong, Yabin Zhang, Yizhen Song, Yunfan Zhang, Min Liu, Junzhang Tian, Weibin Cheng:
MutPPI+: a multimodal framework for predicting mutation effects on protein-protein interactions via mutation-path-based data augmentation. - Syed Mohammed Khalid, Tom Wölker, Leidy-Alejandra G. Molano, Simon Graf, Andreas Keller:
Benchmarking large language models for pathogen-disease classification in post-acute infection syndromes. - Shuo Zhang, Jike Qi, Yuchen Jiang, Hua Lin, Xinyi Wang, Ting Wang, Hongyan Cao, Ping Zeng:
An integrative association analysis for complex diseases in underrepresented groups by leveraging the trans-ethnic genetic similarity. - Mawada Elmagboul Abdalla Abakar, Mehad Almagboul Abdalla Abaker, Marco Antoniotti, Alex Graudenzi:
Phylogenetic analysis of TET2 gene variants in Pakistani acute myeloid Leukemia patients. 4- - Yizhou Zeng, Lei Wang, Xueming Liu:
BioMNEDR: mechanism-guided network embedding for drug repurposing. - Peter T. Nguyen, Maria Zhivagui:
SigRescueR : a pan-system framework for noise correction and mutational signature identification across sequencing platforms. - Wasif Jalal, Mubasshira Musarrat, Md. Abul Hassan Samee, M. Sohel Rahman:
ORANGE: a machine learning approach for modeling tissue-specific aging from transcriptomic data. - Junlin Xu, Cheng Guo, Yajie Meng, Shuting Jin, Changcheng Lu, Zilong Zhang, Feifei Cui, Xiangzheng Fu, Quan Zou, Tian Tian, Xiangxiang Zeng:
A deep adversarial network model for multi-task analysis of single-cell omics data. - Chun Shang, Kevin C. Chan, Ruhong Zhou:
Decoding TCR recognition via geometric deep learning of immunological fingerprints.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-05-18 00:08 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
