NuKit: A deep learning platform for fast nucleus segmentation of histopathological images [0.03%]
NuKit：一种用于快速分割组织病理图像细胞核的深度学习平台
Ching-Nung Lin,Christine H Chung,Aik Choon Tan
Ching-Nung Lin
Nucleus segmentation represents the initial step for histopathological image analysis pipelines, and it remains a challenge in many quantitative analysis methods in terms of accuracy and speed. Recently, deep learning nucleus segmentation m...
Wei Xin Chan,Limsoon Wong
Wei Xin Chan
Despite an exponential increase in publications on clinical prediction models over recent years, the number of models deployed in clinical practice remains fairly limited. In this paper, we identify common obstacles that impede effective de...
Numerical study of chronic hepatitis B infection using Marchuk-Petrov model [0.03%]
基于Marchuk-Petrov模型的慢性乙型肝炎感染的数值研究
Michael Khristichenko,Yuri Nechepurenko,Dmitry Grebennikov et al.
Michael Khristichenko et al.
In this work, we briefly describe our technology developed for computing periodic solutions of time-delay systems and discuss the results of computing periodic solutions for the Marchuk-Petrov model with parameter values, corresponding to h...
A novel method for predicting DNA N4-methylcytosine sites based on deep forest algorithm [0.03%]
一种基于深度森林算法预测DNA N4-甲基胞嘧啶的新方法
Yonglin Zhang,Mei Hu,Qi Mo et al.
Yonglin Zhang et al.
N4-methyladenosine (4mC) methylation is an essential epigenetic modification of deoxyribonucleic acid (DNA) that plays a key role in many biological processes such as gene expression, gene replication and transcriptional regulation. Genome-...
RiRPSSP: A unified deep learning method for prediction of regular and irregular protein secondary structures [0.03%]
用于预测规则和不规则蛋白质二级结构的统一深度学习方法RiRPSSP
Mukhtar Ahmad Sofi,M Arif Wani
Mukhtar Ahmad Sofi
Protein secondary structure prediction (PSSP) is an important and challenging task in protein bioinformatics. Protein secondary structures (SSs) are categorized in regular and irregular structure classes. Regular SSs, representing nearly 50...
Evaluating network-based missing protein prediction using p-values, Bayes Factors, and probabilities [0.03%]
基于网络的蛋白质缺失预测的评价：p值、贝叶斯因子和概率方法
Wilson Wen Bin Goh,Weijia Kong,Limsoon Wong
Wilson Wen Bin Goh
Some prediction methods use probability to rank their predictions, while some other prediction methods do not rank their predictions and instead use [Formula: see text]-values to support their predictions. This disparity renders direct cros...
Zi-Yi He,Jie-Yu Yang,Yong Li
Zi-Yi He
To solve the problem of the lack of representativeness of the training set and the poor prediction accuracy due to the limited number of training samples when the machine learning method is used for the classification and prediction of phar...
Testing and improving the performance of protein thermostability predictors for the engineering of cellulases [0.03%]
蛋白质热稳定预测方法的性能测试及提高——用于纤维素酶工程方面的工作
Anna Dotsenko,Jury Denisenko,Dmitrii Osipov et al.
Anna Dotsenko et al.
Thermostability of cellulases can be increased through amino acid substitutions and by protein engineering with predictors of protein thermostability. We have carried out a systematic analysis of the performance of 18 predictors for the eng...
In silico de novo drug design of a therapeutic peptide inhibitor against UBE2C in breast cancer [0.03%]
计算从头设计UBE2C治疗肽抑制剂对抗乳腺癌
Andrea Mae Añonuevo,Marineil Gomez,Lemmuel L Tayo
Andrea Mae Añonuevo
The World Health Organization (WHO) declared breast cancer (BC) as the most prevalent cancer in the world. With its prevalence and severity, there have been several breakthroughs in developing treatments for the disease. Targeted therapy tr...
PTGAC Model: A machine learning approach for constructing phylogenetic tree to compare protein sequences [0.03%]
基于机器学习的比较蛋白质序列的系统发育树构建模型
Jayanta Pal,Sourav Saha,Bansibadan Maji et al.
Jayanta Pal et al.
This work proposes a machine learning-based phylogenetic tree generation model based on agglomerative clustering (PTGAC) that compares protein sequences considering all known chemical properties of amino acids. The proposed model can serve ...