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

scVAEDer: integrating deep diffusion models and variational autoencoders for single-cell transcriptomics analysis

scVAEDer:整合深度扩散模型和变分自编码器进行单细胞转录组学分析

Sadria, Mehrshad; Layton, Anita

Discovering governing equations of biological systems through representation learning and sparse model discovery

通过表征学习和稀疏模型发现来发现生物系统的控制方程

Sadria, Mehrshad; Swaroop, Vasu

Fatecode enables cell fate regulator prediction using classification-supervised autoencoder perturbation

Fatecode利用分类监督的自编码器扰动实现细胞命运调节因子的预测

Sadria, Mehrshad; Layton, Anita; Goyal, Sidhartha; Bader, Gary D

FateNet: an integration of dynamical systems and deep learning for cell fate prediction

FateNet:一种结合动力系统和深度学习的细胞命运预测方法

Sadria, Mehrshad; Bury, Thomas M

Adversarial training improves model interpretability in single-cell RNA-seq analysis

对抗训练可提高单细胞RNA测序分析中模型的可解释性

Sadria, Mehrshad; Layton, Anita; Bader, Gary D

Prognostic correlation of NOTCH1 and SF3B1 mutations with chromosomal abnormalities in chronic lymphocytic leukemia patients

NOTCH1 和 SF3B1 突变与慢性淋巴细胞白血病患者染色体异常的预后相关性

Reza Sadria, Nasrin Motamed, Mohammad Saberi Anvar, Hassan Mehrabani Yeganeh, Behzad Poopak

The mixed blessing of AMPK signaling in Cancer treatments

AMPK信号通路在癌症治疗中的利弊

Sadria, Mehrshad; Seo, Deokhwa; Layton, Anita T

Interactions among mTORC, AMPK and SIRT: a computational model for cell energy balance and metabolism

mTORC、AMPK 和 SIRT 之间的相互作用:细胞能量平衡和代谢的计算模型

Sadria, Mehrshad; Layton, Anita T

Use of Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers During the COVID-19 Pandemic: A Modeling Analysis

COVID-19 大流行期间血管紧张素转换酶抑制剂和血管紧张素 II 受体阻滞剂的使用:一项建模分析

Sadria, Mehrshad; Layton, Anita T

The role of different subsets of regulatory T cells in immunopathogenesis of rheumatoid arthritis

不同亚群调节性T细胞在类风湿性关节炎免疫发病机制中的作用

Gol-Ara, Maryam; Jadidi-Niaragh, Farhad; Sadria, Reza; Azizi, Gholamreza; Mirshafiey, Abbas