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Patrick J. Lawrence
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Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
C Chen, Q Zhang, B Yu, Z Yu, PJ Lawrence, Q Ma, Y Zhang
Computers in biology and medicine 123, 103899, 2020
1812020
scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder
B Yu, C Chen, R Qi, R Zheng, PJ Skillman-Lawrence, X Wang, A Ma, ...
Briefings in bioinformatics 22 (4), bbaa316, 2021
412021
Single-cell techniques and deep learning in predicting drug response
Z Wu, PJ Lawrence, A Ma, J Zhu, D Xu, Q Ma
Trends in Pharmacological Sciences 41 (12), 1050-1065, 2020
412020
Exome sequencing in multiplex families with left-sided cardiac defects has high yield for disease gene discovery
DM Gordon, D Cunningham, G Zender, PJ Lawrence, JS Penaloza, H Lin, ...
PLoS Genetics 18 (6), e1010236, 2022
122022
Use of machine learning to classify high-risk variants of uncertain significance in lamin A/C cardiac disease
JS Bennett, DM Gordon, U Majumdar, PJ Lawrence, A Matos-Nieves, ...
Heart rhythm 19 (4), 676-685, 2022
52022
Improving MHC class I antigen-processing predictions using representation learning and cleavage site-specific kernels
PJ Lawrence, X Ning
Cell Reports Methods 2 (9), 2022
42022
Novel pathogenic GATA6 variant associated with congenital heart disease, diabetes mellitus and necrotizing enterocolitis
J Yasuhara, SN Manivannan, U Majumdar, DM Gordon, PJ Lawrence, ...
Pediatric Research 95 (1), 146-155, 2024
32024
Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization
PJ Lawrence, B Burns, X Ning
NPJ Precision Oncology 8 (1), 106, 2024
2024
Using Machine Learning and Multifaceted Preoperative Measures to Predict Adult Cochlear Implant Outcomes: A Prospective Pilot Study
A Patro, PJ Lawrence, TN Tamati, X Ning, AC Moberly
Ear and Hearing, 10.1097, 2024
2024
Modeling Path Importance for Effective Alzheimer’s Disease Drug Repurposing
S Xiang, PJ Lawrence, B Peng, CW Chiang, D Kim, L Shen, X Ning
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 306-321, 2023
2023
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