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BMC Bioinformatics
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March 16, 2019
Predicting protein residue-residue contacts using random forests and deep networks
Joseph Luttrell, Tong Liu, Chaoyang Zhang, et al.
Frontiers in Genetics
|
March 7, 2019
Deep Learning Based Analysis of Histopathological Images of Breast Cancer
Juanying Xie, Ran Liu, Joseph Luttrell, et al.
Experimental Biology and Medicine (Maywood, N.J.)
|
January 28, 2024
A quantum-based oversampling method for classification of highly imbalanced and overlapped data
Bei Yang, Guilan Tian, Joseph Luttrell, et al.
Journal of Multidisciplinary Healthcare
|
February 12, 2025
Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset
Mingzhao Wang, Ran Liu, Joseph Luttrell Iv, et al.
Frontiers in Physiology
|
August 29, 2019
Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data
Gabriel Idakwo, Sundar Thangapandian, Joseph Luttrell, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews
|
January 11, 2019
A review on machine learning methods for in silico toxicity prediction
Gabriel Idakwo, Joseph Luttrell, Minjun Chen, et al.
Sensors (Basel, Switzerland)
|
April 28, 2025
Enhancing Maritime Domain Awareness Through AI-Enabled Acoustic Buoys for Real-Time Detection and Tracking of Fast-Moving Vessels
Jeremy Karst, Robert McGurrin, Kimberly Gavin, et al.
Frontiers in Genetics
|
November 16, 2020
A Review of Integrative Imputation for Multi-Omics Datasets
Meng Song, Jonathan Greenbaum, Joseph Luttrell, et al.
Journal of Cheminformatics
|
December 29, 2020
Structure-activity relationship-based chemical classification of highly imbalanced Tox21 datasets
Gabriel Idakwo, Sundar Thangapandian, Joseph Luttrell, et al.
Advances in Experimental Medicine and Biology
|
November 4, 2016
Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling
Juexin Wang, Joseph Luttrell, Ning Zhang, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
BMC Bioinformatics
|
March 16, 2019
Predicting protein residue-residue contacts using random forests and deep networks
Joseph Luttrell, Tong Liu, Chaoyang Zhang, et al.
Frontiers in Genetics
|
March 7, 2019
Deep Learning Based Analysis of Histopathological Images of Breast Cancer
Juanying Xie, Ran Liu, Joseph Luttrell, et al.
Experimental Biology and Medicine (Maywood, N.J.)
|
January 28, 2024
A quantum-based oversampling method for classification of highly imbalanced and overlapped data
Bei Yang, Guilan Tian, Joseph Luttrell, et al.
Journal of Multidisciplinary Healthcare
|
February 12, 2025
Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset
Mingzhao Wang, Ran Liu, Joseph Luttrell Iv, et al.
Frontiers in Physiology
|
August 29, 2019
Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data
Gabriel Idakwo, Sundar Thangapandian, Joseph Luttrell, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews
|
January 11, 2019
A review on machine learning methods for in silico toxicity prediction
Gabriel Idakwo, Joseph Luttrell, Minjun Chen, et al.
Sensors (Basel, Switzerland)
|
April 28, 2025
Enhancing Maritime Domain Awareness Through AI-Enabled Acoustic Buoys for Real-Time Detection and Tracking of Fast-Moving Vessels
Jeremy Karst, Robert McGurrin, Kimberly Gavin, et al.
Frontiers in Genetics
|
November 16, 2020
A Review of Integrative Imputation for Multi-Omics Datasets
Meng Song, Jonathan Greenbaum, Joseph Luttrell, et al.
Journal of Cheminformatics
|
December 29, 2020
Structure-activity relationship-based chemical classification of highly imbalanced Tox21 datasets
Gabriel Idakwo, Sundar Thangapandian, Joseph Luttrell, et al.
Advances in Experimental Medicine and Biology
|
November 4, 2016
Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling
Juexin Wang, Joseph Luttrell, Ning Zhang, et al.
Page
of 2