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Patterns (New York, N.Y.)
|
September 20, 2022
Knowledge-guided deep learning models of drug toxicity improve interpretation
Yun Hao, Joseph D Romano, Jason H Moore
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 10, 2021
Improving QSAR Modeling for Predictive Toxicology using Publicly Aggregated Semantic Graph Data and Graph Neural Networks
Joseph D Romano, Yun Hao, Jason H Moore
Biodata Mining
|
May 28, 2025
Network-based analyses of multiomics data in biomedicine
Rachit Kumar, Joseph D Romano, Marylyn D Ritchie
Human Genetics
|
October 29, 2021
The promise of automated machine learning for the genetic analysis of complex traits
Elisabetta Manduchi, Joseph D Romano, Jason H Moore
Biorxiv : the Preprint Server for Biology
|
December 9, 2024
CASTER-DTA: Equivariant Graph Neural Networks for Predicting Drug-Target Affinity
Rachit Kumar, Joseph D Romano, Marylyn D Ritchie
Journal of Biomedical Informatics
|
January 17, 2015
Adapting simultaneous analysis phylogenomic techniques to study complex disease gene relationships
Joseph D Romano, William G Tharp, Indra Neil Sarkar
Annual Review of Biomedical Data Science
|
May 9, 2024
Centralized and Federated Models for the Analysis of Clinical Data
Ruowang Li, Joseph D Romano, Yong Chen, et al.
Genetic Programming and Evolvable Machines
|
August 7, 2025
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators
Joseph D Romano, Trang T Le, Weixuan Fu, et al.
Chemical Research in Toxicology
|
July 12, 2022
Automating Predictive Toxicology Using ComptoxAI
Joseph D Romano, Yun Hao, Jason H Moore, et al.
BMC Bioinformatics
|
October 1, 2020
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
Elisabetta Manduchi, Weixuan Fu, Joseph D Romano, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 33) with videos related to
Sort By:
Page
of 4
Patterns (New York, N.Y.)
|
September 20, 2022
Knowledge-guided deep learning models of drug toxicity improve interpretation
Yun Hao, Joseph D Romano, Jason H Moore
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 10, 2021
Improving QSAR Modeling for Predictive Toxicology using Publicly Aggregated Semantic Graph Data and Graph Neural Networks
Joseph D Romano, Yun Hao, Jason H Moore
Biodata Mining
|
May 28, 2025
Network-based analyses of multiomics data in biomedicine
Rachit Kumar, Joseph D Romano, Marylyn D Ritchie
Human Genetics
|
October 29, 2021
The promise of automated machine learning for the genetic analysis of complex traits
Elisabetta Manduchi, Joseph D Romano, Jason H Moore
Biorxiv : the Preprint Server for Biology
|
December 9, 2024
CASTER-DTA: Equivariant Graph Neural Networks for Predicting Drug-Target Affinity
Rachit Kumar, Joseph D Romano, Marylyn D Ritchie
Journal of Biomedical Informatics
|
January 17, 2015
Adapting simultaneous analysis phylogenomic techniques to study complex disease gene relationships
Joseph D Romano, William G Tharp, Indra Neil Sarkar
Annual Review of Biomedical Data Science
|
May 9, 2024
Centralized and Federated Models for the Analysis of Clinical Data
Ruowang Li, Joseph D Romano, Yong Chen, et al.
Genetic Programming and Evolvable Machines
|
August 7, 2025
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators
Joseph D Romano, Trang T Le, Weixuan Fu, et al.
Chemical Research in Toxicology
|
July 12, 2022
Automating Predictive Toxicology Using ComptoxAI
Joseph D Romano, Yun Hao, Jason H Moore, et al.
BMC Bioinformatics
|
October 1, 2020
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
Elisabetta Manduchi, Weixuan Fu, Joseph D Romano, et al.
Page
of 4