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

Integrating state-space modeling, parameter estimation, deep learning, and docking techniques in drug repurposing: a case study on COVID-19 cytokine storm

将状态空间建模、参数估计、深度学习和分子对接技术整合到药物重定位中:以新冠肺炎细胞因子风暴为例

Bakshi, Abhisek; Gangopadhyay, Kaustav; Basak, Sujit; De, Rajat K; Sengupta, Souvik; Dasgupta, Abhijit

Turnover atlas of proteome and phosphoproteome across mouse tissues and brain regions.

小鼠组织和脑区蛋白质组和磷酸化蛋白质组的周转图谱

Li Wenxue, Dasgupta Abhijit, Yang Ka, Wang Shisheng, Hemandhar-Kumar Nisha, Chepyala Surendhar R, Yarbro Jay M, Hu Zhenyi, Salovska Barbora, Fornasiero Eugenio F, Peng Junmin, Liu Yansheng

Human and mouse proteomics reveals the shared pathways in Alzheimer's disease and delayed protein turnover in the amyloidome

人类和小鼠蛋白质组学揭示了阿尔茨海默病中共同的通路以及淀粉样蛋白组中蛋白质周转延迟的现象

Yarbro, Jay M; Han, Xian; Dasgupta, Abhijit; Yang, Ka; Liu, Danting; Shrestha, Him K; Zaman, Masihuz; Wang, Zhen; Yu, Kaiwen; Lee, Dong Geun; Vanderwall, David; Niu, Mingming; Sun, Huan; Xie, Boer; Chen, Ping-Chung; Jiao, Yun; Zhang, Xue; Wu, Zhiping; Chepyala, Surendhar R; Fu, Yingxue; Li, Yuxin; Yuan, Zuo-Fei; Wang, Xusheng; Poudel, Suresh; Vagnerova, Barbora; He, Qianying; Tang, Andrew; Ronaldson, Patrick T; Chang, Rui; Yu, Gang; Liu, Yansheng; Peng, Junmin

Combining single-cell ATAC and RNA sequencing for supervised cell annotation

结合单细胞ATAC和RNA测序进行监督式细胞注释

Gill, Jaidip; Dasgupta, Abhijit; Manry, Brychan; Markuzon, Natasha

Human-mouse proteomics reveals the shared pathways in Alzheimer's disease and delayed protein turnover in the amyloidome

人鼠蛋白质组学揭示了阿尔茨海默病中共同的通路以及淀粉样蛋白组中蛋白质周转延迟的现象

Yarbro, Jay M; Han, Xian; Dasgupta, Abhijit; Yang, Ka; Liu, Danting; Shrestha, Him K; Zaman, Masihuz; Wang, Zhen; Yu, Kaiwen; Lee, Dong Geun; Vanderwall, David; Niu, Mingming; Sun, Huan; Xie, Boer; Chen, Ping-Chung; Jiao, Yun; Zhang, Xue; Wu, Zhiping; Fu, Yingxue; Li, Yuxin; Yuan, Zuo-Fei; Wang, Xusheng; Poudel, Suresh; Vagnerova, Barbora; He, Qianying; Tang, Andrew; Ronaldson, Patrick T; Chang, Rui; Yu, Gang; Liu, Yansheng; Peng, Junmin

Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence

新冠病毒病(COVID-19)大流行中的流行病学挑战:人工智能的作用

Dasgupta, Abhijit; Bakshi, Abhisek; Mukherjee, Srijani; Das, Kuntal; Talukdar, Soumyajeet; Chatterjee, Pratyayee; Mondal, Sagnik; Das, Puspita; Ghosh, Subhrojit; Som, Archisman; Roy, Pritha; Kundu, Rima; Sarkar, Akash; Biswas, Arnab; Paul, Karnelia; Basak, Sujit; Manna, Krishnendu; Saha, Chinmay; Mukhopadhyay, Satinath; Bhattacharyya, Nitai P; De, Rajat K

Predicting Probability of Response to Tumor Necrosis Factor Inhibitors for Individual Patients With Ankylosing Spondylitis

预测强直性脊柱炎患者对肿瘤坏死因子抑制剂的反应概率

Wang, Runsheng; Dasgupta, Abhijit; Ward, Michael M

Predictive Mechanistic Model of Creep Response of Single-Layered Pressure-Sensitive Adhesive (PSA) Joints

单层压敏胶(PSA)接头蠕变响应的预测机理模型

Huang, Hao; Dasgupta, Abhijit; Singh, Narendra

Grain-Scale Anisotropic Analysis of Steady-State Creep in Oligocrystalline SAC Solder Joints

寡晶SAC焊点稳态蠕变的晶粒尺度各向异性分析

Jiang, Qian; Deshpande, Abhishek Nitin; Dasgupta, Abhijit

Principles of pediatric lupus nephritis in a prospective contemporary multi-center cohort

前瞻性当代多中心队列研究中儿童狼疮性肾炎的原则

Vazzana, Kathleen M; Daga, Ankana; Goilav, Beatrice; Ogbu, Ekemini A; Okamura, Daryl M; Park, Catherine; Sadun, Rebecca E; Smitherman, Emily A; Stotter, Brian R; Dasgupta, Abhijit; Knight, Andrea M; Hersh, Aimee O; Wenderfer, Scott E; Lewandowski, Laura B