Subject
Creator
- Douglas R Schmitt, 0000-0001-6920-0658 1
- Karen Hudson 1
- Koushiki Basu, 0009-0001-3257-6421 1
- Kranthi K Varala, 0000-0003-1051-6636 1
- Nicholas Huls 1
- Oumeng Zhang, 0000-0003-3051-2325 1
- Shan Lu 1
- Tonglei Li, 0000-0003-2491-0263 1
- Ying Li 1
Type
- Dataset 3
Date
- 2024 3
subject: Machine Learning date: 2024
Total is 3 Results
A deep learning neural network to extract of P- and S-wave transit times from Vertical Seismic Profile (VSP)
10.4231/TT0F-KH40
Douglas R Schmitt
,
Oumeng Zhang
07/23/2024
This archive contains the training dataset and the Python code to train a deep learning neural net that aims to extract separately P and S wave arrival transit times from synthetic common shot gathers (CSG) in a deviated borehole geometry.
deep learning Machine Learning Machine Learning and Geophysical Signals seismic behavior
Deep Learning of CYP450 Binding of Small Molecules by Quantum Information
10.4231/SCF2-QJ02
Koushiki Basu
,
Nicholas Huls
,
Shan Lu
,
Tonglei Li
11/06/2024
We implemented the Manifold Embedding of Molecular Surface approach, which retains the quantum mechanical characteristics of molecules, to predict a drug's likelihood of binding to cytochrome P450 enzymes by deep learning.
deep learning Informatics Machine Learning Molecular Pharmacology
Genome-wide, Organ-delimited gene regulatory networks (OD-GRN) provide high accuracy in candidate Transcription Factor (TF) selection across diverse processes
10.4231/50R5-EM83
Karen Hudson
,
Kranthi K Varala
,
Ying Li
01/04/2024
Organ-specific gene expression datasets that include hundreds to thousands of experiments allow reconstruction of gene regulatory networks and discovery of transcriptional regulators various pathways and processes.
Arabidopsis thaliana Gene regulatory networks k-nearest neighbor (kNN) linear support vector machines (SVM) Machine Learning Systems biology
Display #
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