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Yun Hao
Yun Hao
Department of Biomedical Informatics, Columbia University
Overená e-mailová adresa na: columbia.edu
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Citované v
Citované v
Rok
Molecular mechanisms and function prediction of long noncoding RNA
H Ma, Y Hao, X Dong, Q Gong, J Chen, J Zhang, W Tian
The Scientific World Journal 2012, 2012
1382012
Silencing c-Myc translation as a therapeutic strategy through targeting PI3Kδ and CK1ε in hematological malignancies
C Deng, MR Lipstein, L Scotto, XO Jirau Serrano, MA Mangone, S Li, ...
Blood, The Journal of the American Society of Hematology 129 (1), 88-99, 2017
1202017
LEGO: a novel method for gene set over-representation analysis by incorporating network-based gene weights
X Dong, Y Hao, X Wang, W Tian
Scientific reports 6 (1), 18871, 2016
462016
Atomic dynamic functional interaction patterns for characterization of ADHD
J Ou, Z Lian, L Xie, X Li, P Wang, Y Hao, D Zhu, R Jiang, Y Wang, Y Chen, ...
Human brain mapping 35 (10), 5262-5278, 2014
342014
Knowledge-guided deep learning models of drug toxicity improve interpretation
Y Hao, JD Romano, JH Moore
Patterns 3 (9), 2022
182022
Predicting G protein-coupled receptor downstream signaling by tissue expression
Y Hao, NP Tatonetti
Bioinformatics 32 (22), 3435-3443, 2016
172016
Tissue‐Specific Analysis of Pharmacological Pathways
Y Hao, K Quinnies, R Realubit, C Karan, NP Tatonetti
CPT: Pharmacometrics & Systems Pharmacology 7 (7), 453-463, 2018
112018
Automating predictive toxicology using ComptoxAI
JD Romano, Y Hao, JH Moore, TM Penning
Chemical research in toxicology 35 (8), 1370-1382, 2022
102022
Improving QSAR modeling for predictive toxicology using publicly aggregated semantic graph data and graph neural networks
JD Romano, Y Hao, JH Moore
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2022, 187-198, 2021
102021
TargetTox: a feature selection pipeline for identifying predictive targets associated with drug toxicity
Y Hao, JH Moore
Journal of Chemical Information and Modeling 61 (11), 5386-5394, 2021
72021
Dynamic network partition via Bayesian connectivity bi-partition change point model
Z Lian, X Li, T Young, Y Hao, J Xing, J Lv, X Jiang, D Zhu, T Liu, J Zhang
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 545-548, 2014
32014
The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research
JD Romano, V Truong, R Kumar, M Venkatesan, BE Graham, Y Hao, ...
Journal of Medical Internet Research 26, e46777, 2024
12024
Predicting negative control drugs to support research in drug safety
Y Hao, NP Tatonetti
bioRxiv, 380832, 2018
12018
Knowledge graph aids comprehensive explanation of drug and chemical toxicity
Y Hao, JD Romano, JH Moore
CPT: Pharmacometrics & Systems Pharmacology 12 (8), 1072-1079, 2023
2023
KNOWLEDGE GRAPH AIDS COMPREHENSIVE EXPLANATION OF DRUG TOXICITY
Y Hao, JD Romano, JH Moore
bioRxiv, 2022.10. 07.511348, 2022
2022
Predicting the Toxicity of Druggable Proteins to Human Tissues
Y Hao, P Thangaraj, NP Tatonetti
bioRxiv, 2021.12. 07.471637, 2021
2021
Methods and systems for predicting success rates of clinical trials
N Tatonetti, Y Hao
US Patent App. 17/085,688, 2021
2021
Disruption of the mTOR-eIF4F Axis By Selectively Targeting PI3Kdelta and Proteasome Potently Inhibits Cap Dependent Translation of c-Myc in Aggressive Lymphomas
C Deng, M Lipstein, L Scotto, Y Hao, NP Tatonetti, M Mangone, S Li, ...
Blood 126 (23), 593, 2015
2015
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Články 1–18