日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

BiGKbhb: a bi-directional gated recurrent unit model for predicting lysine β-hydroxybutyrylation sites

BiGKbhb:一种用于预测赖氨酸β-羟基丁酰化位点的双向门控循环单元模型

Elreify, Heba M; El-Samie, Fathi E Abd; Dessouky, Moawad I; Torkey, Hanaa; El-Khamy, Said E; Shalaby, Wafaa A

A deep learning framework for lysine 2-hydroxyisobutyrylation site prediction using evolutionary feature representation

基于进化特征表示的赖氨酸2-羟基异丁酰化位点预测深度学习框架

Elreify, Heba M; El-Samie, Fathi E Abd; Dessouky, Moawad I; Torkey, Hanaa; El-Khamy, Said E; Shalaby, Wafaa A

An efficient machine-learning framework for predicting protein post-translational modification sites

一种用于预测蛋白质翻译后修饰位点的高效机器学习框架

Elreify, Heba M; El-Samie, Fathi E Abd; Dessouky, Moawad I; Torkey, Hanaa; El-Khamy, Said E; Shalaby, Wafaa A

Stratified cardiovascular risk in patients with metabolic dysfunction-associated steatotic liver disease (MASLD): impact of varying metabolic risk factor burden

代谢功能障碍相关脂肪肝(MASLD)患者心血管风险分层:不同代谢风险因素负担的影响

Elsabaawy, Maha; Torkey, Mohamed; Magdy, Mai; Naguib, Madiha

A novel deep autoencoder based survival analysis approach for microarray dataset

一种基于深度自编码器的微阵列数据集生存分析新方法

Torkey, Hanaa; Atlam, Mostafa; El-Fishawy, Nawal; Salem, Hanaa

Coronavirus disease 2019 (COVID-19): survival analysis using deep learning and Cox regression model

2019冠状病毒病(COVID-19):基于深度学习和Cox回归模型的生存分析

Atlam, Mostafa; Torkey, Hanaa; El-Fishawy, Nawal; Salem, Hanaa

Efficient machine learning model for predicting drug-target interactions with case study for Covid-19

高效的机器学习模型预测药物-靶点相互作用——以新冠肺炎为例

El-Behery, Heba; Attia, Abdel-Fattah; El-Feshawy, Nawal; Torkey, Hanaa

A system to automatically classify and name any individual genome-sequenced organism independently of current biological classification and nomenclature

一个能够独立于现有生物分类和命名规则,自动对任何已测序的个体生物进行分类和命名的系统。

Marakeby, Haitham; Badr, Eman; Torkey, Hanaa; Song, Yuhyun; Leman, Scotland; Monteil, Caroline L; Heath, Lenwood S; Vinatzer, Boris A