Compact Class-conditional Attribute Category Clustering: Amino Acid Grouping for Enhanced HIV-1 Protease Cleavage Classification [0.03%]
紧凑的类条件属性类别聚类：增强HIV-1蛋白酶切割分类的氨基酸分组
Jose A Saez,J Fernando Vera
Jose A Saez
Categorical attributes are common in many classification tasks, presenting certain challenges as the number of categories grows. This situation can affect data handling, negatively impacting the building time of models, their complexity and...
NeoMS: Mass Spectrometry-based Method for Uncovering Mutated MHC-I Neoantigens [0.03%]
基于质谱的全新抗原检测方法用于发现突变型MHCI新抗原
Shaokai Wang,Ming Zhu,Bin Ma
Shaokai Wang
Major Histocompatibility Complex (MHC) molecules play a critical role in the immune system by presenting peptides on the cell surface for recognition by T-cells. Tumor cells often produce MHC peptides with amino acid mutations, known as neo...
A Method for Inferring Polymers Based on Linear Regression and Integer Programming [0.03%]
基于线性回归和整数规划的聚合物推理方法
Ryota Ido,Shengjuan Cao,Jianshen Zhu et al.
Ryota Ido et al.
A novel framework has recently been proposed for designing the molecular structure of chemical compounds with a desired chemical property using both artificial neural networks and mixed integer linear programming. In this paper, we design a...
KGRACDA: A Model Based on Knowledge Graph from Recursion and Attention Aggregation for CircRNA-disease Association Prediction [0.03%]
基于递归和注意力聚合的知识图模型的circRNA-疾病关联预测(KGRACDA)
Ying Wang,Maoyuan Ma,Yanxin Xie et al.
Ying Wang et al.
CircRNA is closely related to human disease, so it is important to predict circRNA-disease association (CDA). However, the traditional biological detection methods have high difficulty and low accuracy, and computational methods represented...
Parallel convolutional contrastive learning method for enzyme function prediction [0.03%]
一种用于酶功能预测的并行卷积对比学习方法
Xindi Yu,Shusen Zhou,Mujun Zang et al.
Xindi Yu et al.
The function labeling of enzymes has a wide range of application value in the medical field, industrial biology and other fields. Scientists define enzyme categories by enzyme commission (EC) numbers. At present, although there are some too...
Yufei Li,Xiaoyong Ma,Xiangyu Zhou et al.
Yufei Li et al.
Biomedical Coreference Resolution focuses on identifying the coreferences in biomedical texts, which normally consists of two parts: (i) mention detection to identify textual representation of biological entities and (ii) finding their core...
AirLift: A Fast and Comprehensive Technique for Remapping Alignments between Reference Genomes [0.03%]
一种快速且综合性参考基因组间重定位映射的方法：AirLift技术
Jeremie S Kim,Can Firtina,Meryem Banu Cavlak et al.
Jeremie S Kim et al.
AirLift is the first read remapping tool that enables users to quickly and comprehensively map a read set, that had been previously mapped to one reference genome, to another similar reference. Users can then quickly run a downstream analys...
TeaTFactor: a prediction tool for tea plant transcription factors based on BERT [0.03%]
茶转录因子预测工具茶TFactor基于BERT
Qinan Tang,Ying Xiang,Wanling Gao et al.
Qinan Tang et al.
A transcription factor (TF) is a sequence-specific DNA-binding protein, which plays key roles in cell-fate decision by regulating gene expression. Predicting TFs is key for tea plant research community, as they regulate gene expression, inf...
Jiayi Dong,Jiahao Li,Fei Wang
Jiayi Dong
Understanding the intricate regulatory relationships among genes is crucial for comprehending the development, differentiation, and cellular response in living systems. Consequently, inferring gene regulatory networks (GRNs) based on observ...
Sachin Mathur,Hamid Mattoo,Ziv Bar-Joseph
Sachin Mathur
Time series RNASeq studies can enable understanding of the dynamics of disease progression and treatment response in patients. They also provide information on biomarkers, activated and repressed pathways, and more. While useful, data from ...