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Patrick J Lawrence

Showing results (1-10 of 10) with videos related to

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Cell Reports Methods|September 26, 2022
Improving MHC class I antigen-processing predictions using representation learning and cleavage site-specific kernelsPatrick J Lawrence, Xia Ning
NPJ Precision Oncology|May 18, 2024
Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritizationPatrick J Lawrence, Benjamin Burns, Xia Ning
Trends in Pharmacological Sciences|November 6, 2020
Single-Cell Techniques and Deep Learning in Predicting Drug ResponseZhenyu Wu, Patrick J Lawrence, Anjun Ma, et al.
Ear and Hearing|September 6, 2024
Using Machine Learning and Multifaceted Preoperative Measures to Predict Adult Cochlear Implant Outcomes: A Prospective Pilot StudyAnkita Patro, Patrick J Lawrence, Terrin N Tamati, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Modeling Path Importance for Effective Alzheimer's Disease Drug RepurposingShunian Xiang, Patrick J Lawrence, Bo Peng, et al.
Arxiv|November 14, 2023
Modeling Path Importance for Effective Alzheimer's Disease Drug RepurposingShunian Xiang, Patrick J Lawrence, Bo Peng, et al.
Computers in Biology and Medicine|August 10, 2020
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifierCheng Chen, Qingmei Zhang, Bin Yu, et al.
Heart Rhythm|December 27, 2021
Use of machine learning to classify high-risk variants of uncertain significance in lamin A/C cardiac diseaseJeffrey S Bennett, David M Gordon, Uddalak Majumdar, et al.
Pediatric Research|September 12, 2023
Novel pathogenic GATA6 variant associated with congenital heart disease, diabetes mellitus and necrotizing enterocolitisJun Yasuhara, Sathiya N Manivannan, Uddalak Majumdar, et al.
Plos Genetics|June 23, 2022
Exome sequencing in multiplex families with left-sided cardiac defects has high yield for disease gene discoveryDavid M Gordon, David Cunningham, Gloria Zender, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Cell Reports Methods|September 26, 2022
Improving MHC class I antigen-processing predictions using representation learning and cleavage site-specific kernelsPatrick J Lawrence, Xia Ning
NPJ Precision Oncology|May 18, 2024
Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritizationPatrick J Lawrence, Benjamin Burns, Xia Ning
Trends in Pharmacological Sciences|November 6, 2020
Single-Cell Techniques and Deep Learning in Predicting Drug ResponseZhenyu Wu, Patrick J Lawrence, Anjun Ma, et al.
Ear and Hearing|September 6, 2024
Using Machine Learning and Multifaceted Preoperative Measures to Predict Adult Cochlear Implant Outcomes: A Prospective Pilot StudyAnkita Patro, Patrick J Lawrence, Terrin N Tamati, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Modeling Path Importance for Effective Alzheimer's Disease Drug RepurposingShunian Xiang, Patrick J Lawrence, Bo Peng, et al.
Arxiv|November 14, 2023
Modeling Path Importance for Effective Alzheimer's Disease Drug RepurposingShunian Xiang, Patrick J Lawrence, Bo Peng, et al.
Computers in Biology and Medicine|August 10, 2020
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifierCheng Chen, Qingmei Zhang, Bin Yu, et al.
Heart Rhythm|December 27, 2021
Use of machine learning to classify high-risk variants of uncertain significance in lamin A/C cardiac diseaseJeffrey S Bennett, David M Gordon, Uddalak Majumdar, et al.
Pediatric Research|September 12, 2023
Novel pathogenic GATA6 variant associated with congenital heart disease, diabetes mellitus and necrotizing enterocolitisJun Yasuhara, Sathiya N Manivannan, Uddalak Majumdar, et al.
Plos Genetics|June 23, 2022
Exome sequencing in multiplex families with left-sided cardiac defects has high yield for disease gene discoveryDavid M Gordon, David Cunningham, Gloria Zender, et al.
Pageof 1