How much can ChatGPT really help computational biologists in programming? [0.03%]
ChatGPT真的能在编程方面给计算生物学家多少帮助？
Chowdhury Rafeed Rahman,Limsoon Wong
Chowdhury Rafeed Rahman
ChatGPT, a recently developed product by openAI, is successfully leaving its mark as a multi-purpose natural language based chatbot. In this paper, we are more interested in analyzing its potential in the field of computational biology. A m...
Learning long- and short-term dependencies for improving drug-target binding affinity prediction using transformer and edge contraction pooling [0.03%]
基于变压器和边缘收缩池化的改善药物-靶点结合亲和力预测的长短期依赖学习方法
Min Gao,Shaohua Jiang,Weibin Ding et al.
Min Gao et al.
The accurate identification of drug-target affinity (DTA) is crucial for advancements in drug discovery and development. Many deep learning-based approaches have been devised to predict drug-target binding affinity accurately, exhibiting no...
Meizhen Sheng,Yanpeng Qi,Zhenbo Gao et al.
Meizhen Sheng et al.
Identifying valuable features from complex omics data is of great significance for disease diagnosis study. This paper proposes a new feature selection algorithm based on sample network (FS-SN) to mine important information from omics data....
Integrating pharmacophore model and deep learning for activity prediction of molecules with BRCA1 gene [0.03%]
整合药效模型和深度学习以预测BRCA1基因分子活性
Seloua Hadiby,Yamina Mohamed Ben Ali
Seloua Hadiby
In this paper, we propose a novel approach for predicting the activity/inactivity of molecules with the BRCA1 gene by combining pharmacophore modeling and deep learning techniques. Initially, we generated 3D pharmacophore fingerprints using...
EnAMP: A novel deep learning ensemble antibacterial peptide recognition algorithm based on multi-features [0.03%]
EnAMP：一种基于多特征的新型深度学习抗菌肽识别算法
Jujuan Zhuang,Wanquan Gao,Rui Su
Jujuan Zhuang
Antimicrobial peptides (AMPs), as the preferred alternatives to antibiotics, have wide application with good prospects. Identifying AMPs through wet lab experiments remains expensive, time-consuming and challenging. Many machine learning me...
Predictive Recognition of DNA-binding Proteins Based on Pre-trained Language Model BERT [0.03%]
基于预训练语言模型BERT的DNA结合蛋白预测识别
Yue Ma,Yongzhen Pei,Changguo Li
Yue Ma
Identifying proteins is crucial for disease diagnosis and treatment. With the increase of known proteins, large-scale batch predictions are essential. However, traditional biological experiments being time-consuming and expensive are diffic...
Imputation for Single-cell RNA-seq Data with Non-negative Matrix Factorization and Transfer Learning [0.03%]
基于非负矩阵分解和迁移学习的单细胞RNA序列数据补齐方法
Jiadi Zhu,Youlong Yang
Jiadi Zhu
Single-cell RNA sequencing (scRNA-seq) has been proven to be an effective technology for investigating the heterogeneity and transcriptome dynamics due to the single-cell resolution. However, one of the major problems for data obtained by s...
Small groups in multidimensional feature space: Two examples of supervised two-group classification from biomedicine [0.03%]
多维特征空间中的小样本群组：两个来自生物医学的监督两组分类实例
Dmitriy Karpenko,Aleksei Bigildeev
Dmitriy Karpenko
Some biomedical datasets contain a small number of samples which have large numbers of features. This can make analysis challenging and prone to errors such as overfitting and misinterpretation. To improve the accuracy and reliability of an...
CNV-FB: A Feature bagging strategy-based approach to detect copy number variants from NGS data [0.03%]
CNV-FB：一种基于特征抽取策略的从NGS数据中检测拷贝数变异的方法
Chengyou Li,Shiqiang Fan,Haiyong Zhao et al.
Chengyou Li et al.
Copy number variation (CNV), as a type of genomic structural variation, accounts for a large proportion of structural variation and is related to the pathogenesis and susceptibility to some human diseases, playing an important role in the d...
Yue Wang
Yue Wang
Given several number sequences, determining the longest common subsequence is a classical problem in computer science. This problem has applications in bioinformatics, especially determining transposable genes. Nevertheless, related works o...