|
🐜
|
Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment
11 auth.
Yadi Zhou,
Jielin Xu,
Y. Hou,
J. Leverenz,
A. Kallianpur,
R. Mehra,
...
Yunlong Liu,
Haiyuan Yu,
A. Pieper,
L. Jehi,
F. Cheng
|
6 |
2021 |
6
🐜
|
|
🐜
|
Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data
8 auth.
Junlin Xu,
Jielin Xu,
Yajie Meng,
Changcheng Lu,
Lijun Cai,
Xiangxiang Zeng,
...
R. Nussinov,
F. Cheng
|
6 |
2023 |
6
🐜
|
|
🦁
|
Multimodal single-cell/nucleus RNA sequencing data analysis uncovers molecular networks between disease-associated microglia and astrocytes with implications for drug repurposing in Alzheimer's disease
13 auth.
Jielin Xu,
Pengyue Zhang,
Yin Huang,
Yadi Zhou,
Y. Hou,
L. Bekris,
J. Lathia,
Chienwei Chiang,
Lang Li,
A. Pieper,
...
J. Leverenz,
J. Cummings,
F. Cheng
|
5 |
2020 |
5
🦁
|
|
🦁
|
Fibronectin and Other Adhesive Glycoproteins
Jielin Xu,
D. Mosher
|
5 |
2011 |
5
🦁
|
|
🦁
|
Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer’s disease
17 auth.
Jielin Xu,
Chengsheng Mao,
Y. Hou,
Yuan Luo,
Jessica L. Binder,
Yadi Zhou,
L. Bekris,
Jiyoung Shin,
Ming Hu,
Fei Wang,
...
Ch. Eng,
Tudor I. Oprea,
M. Flanagan,
A. Pieper,
J. Cummings,
J. Leverenz,
F. Cheng
|
5 |
2022 |
5
🦁
|
|
🐜
|
Artificial intelligence framework identifies candidate targets for drug repurposing in Alzheimer’s disease
15 auth.
Pengyue Zhang,
Quan Wang,
Chienwei Chiang,
Yadi Zhou,
Y. Hou,
Jielin Xu,
R. Chen,
Bin Zhang,
Stephen J. Lewis,
J. Leverenz,
...
A. Pieper,
Bingshan Li,
Lang Li,
J. Cummings,
F. Cheng
|
5 |
2022 |
5
🐜
|
|
🐜
|
Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment
11 auth.
Yadi Zhou,
Jielin Xu,
Y. Hou,
J. Leverenz,
A. Kallianpur,
R. Mehra,
...
Yunlong Liu,
Haiyuan Yu,
A. Pieper,
L. Jehi,
F. Cheng
|
5 |
2021 |
5
🐜
|
|
🐜
|
Synergy from gene expression and network mining (SynGeNet) method predicts synergistic drug combinations for diverse melanoma genomic subtypes
9 auth.
Kelly Regan-Fendt,
Jielin Xu,
M. DiVincenzo,
Megan C. Duggan,
R. Shakya,
Ryejung Na,
...
W. Carson,
Philip R. O. Payne,
Fuhai Li
|
5 |
2019 |
5
🐜
|
