Prognoses of diameter and height of trees of eucalyptus using artificial intelligence

GC Vieira, AR de Mendonça, GF da Silva… - Science of the Total …, 2018 - Elsevier
Abstract Models of individual trees are composed of sub-models that generally estimate
competition, mortality, and growth in height and diameter of each tree. They are usually …

[HTML][HTML] Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA

S Albaradei, A Magana-Mora, M Thafar, M Uludag… - Gene, 2020 - Elsevier
Background The accurate identification of the exon/intron boundaries is critical for the
correct annotation of genes with multiple exons. Donor and acceptor splice sites (SS) …

[PDF][PDF] Application and evaluation of knowledge graph embeddings in biomedical data

M Alshahrani, MA Thafar, M Essack - PeerJ Computer Science, 2021 - peerj.com
Linked data and bio-ontologies enabling knowledge representation, standardization, and
dissemination are an integral part of developing biological and biomedical databases. That …

[HTML][HTML] DPubChem: a web tool for QSAR modeling and high-throughput virtual screening

O Soufan, W Ba-Alawi, A Magana-Mora, M Essack… - Scientific reports, 2018 - nature.com
High-throughput screening (HTS) performs the experimental testing of a large number of
chemical compounds aiming to identify those active in the considered assay. Alternatively …

AccuPipePred: A framework for the accurate and early detection of stuck pipe for real-time drilling operations

A Magana-Mora, S Gharbi, A Alshaikh… - SPE Middle East Oil and …, 2019 - onepetro.org
Thorough preplanning and best drilling practices are effective in reducing stuck pipe
incidents, data analytics offer additional insight into further reducing the significant non …

Well control space out: A deep-learning approach for the optimization of drilling safety operations

A Magana-Mora, M Affleck, M Ibrahim… - IEEE …, 2021 - ieeexplore.ieee.org
As drilling of new oil and gas wells increase to meet energy demands, it is essential to
optimize processes to ensure the health and safety of the crew as well as the protection of …

Evaluating the consistency of large-scale pharmacogenomic studies

R Rahman, SR Dhruba, K Matlock… - Briefings in …, 2019 - academic.oup.com
Recent years have seen an increase in the availability of pharmacogenomic databases such
as Genomics of Drug Sensitivity in Cancer (GDSC) and Cancer Cell Line Encyclopedia …

[HTML][HTML] T1000: a reduced gene set prioritized for toxicogenomic studies

O Soufan, J Ewald, C Viau, D Crump, M Hecker… - PeerJ, 2019 - peerj.com
There is growing interest within regulatory agencies and toxicological research communities
to develop, test, and apply new approaches, such as toxicogenomics, to more efficiently …

[HTML][HTML] Predicting DNA sequence splice site based on graph convolutional network and DNA graph construction

L Rentao, L Yelin, G Lixin, L Mengshan - Journal of King Saud University …, 2024 - Elsevier
Identifying splice sites is essential for gene structure analysis and eukaryotic genome
annotation. Recently, computational and deep learning approaches for splice site detection …

An improved deep polynomial network algorithm for transcranial sonography–based diagnosis of parkinson's disease

L Shen, J Shi, Y Dong, S Ying, Y Peng, L Chen… - Cognitive …, 2020 - Springer
Transcranial sonography (TCS) is a valid neuroimaging tool for the diagnosis of Parkinson's
disease (PD). The TCS-based computer-aided diagnosis (CAD) has attracted increasing …