[HTML][HTML] A review of deep learning applications in human genomics using next-generation sequencing data

WS Alharbi, M Rashid - Human Genomics, 2022 - Springer
Genomics is advancing towards data-driven science. Through the advent of high-throughput
data generating technologies in human genomics, we are overwhelmed with the heap of …

[HTML][HTML] How artificial intelligence might disrupt diagnostics in hematology in the near future

W Walter, C Haferlach, N Nadarajah, I Schmidts… - Oncogene, 2021 - nature.com
Artificial intelligence (AI) is about to make itself indispensable in the health care sector.
Examples of successful applications or promising approaches range from the application of …

[HTML][HTML] In silico methods for predicting functional synonymous variants

BC Lin, U Katneni, KI Jankowska, D Meyer… - Genome Biology, 2023 - Springer
Single nucleotide variants (SNVs) contribute to human genomic diversity. Synonymous
SNVs are previously considered to be “silent,” but mounting evidence has revealed that …

Principles and correction of 5'-splice site selection

F Malard, CD Mackereth, S Campagne - RNA biology, 2022 - Taylor & Francis
In Eukarya, immature mRNA transcripts (pre-mRNA) often contain coding sequences, or
exons, interleaved by non-coding sequences, or introns. Introns are removed upon splicing …

[HTML][HTML] An automated framework for evaluation of deep learning models for splice site predictions

A Zabardast, EG Tamer, YA Son, A Yılmaz - Scientific Reports, 2023 - nature.com
A novel framework for the automated evaluation of various deep learning-based splice site
detectors is presented. The framework eliminates time-consuming development and …

DeepGenGrep: a general deep learning-based predictor for multiple genomic signals and regions

Q Liu, H Fang, X Wang, M Wang, S Li, LJM Coin… - …, 2022 - academic.oup.com
Motivation Accurate annotation of different genomic signals and regions (GSRs) from DNA
sequences is fundamentally important for understanding gene structure, regulation and …

[HTML][HTML] Deep splicer: A CNN model for splice site prediction in genetic sequences

E Fernandez-Castillo, LI Barbosa-Santillán… - Genes, 2022 - mdpi.com
Many living organisms have DNA in their cells that is responsible for their biological
features. DNA is an organic molecule of two complementary strands of four different …

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 …

[HTML][HTML] CNNSplice: Robust models for splice site prediction using convolutional neural networks

V Akpokiro, HMAM Chowdhury, S Olowofila… - Computational and …, 2023 - Elsevier
The identification of splice site, or segments of an RNA gene where noncoding and coding
sequences are connected in the 5′ and 3′ directions, is an essential post-transcriptional …

Machine-learning model for the prediction of lithology porosity from surface drilling parameters

A Magana-Mora, M Abughaban, A Ali - Abu Dhabi International …, 2020 - onepetro.org
Introduction The accurate characterization of the lithology porosity is critical for geological
interpretation and decision making in petroleum exploration. For this, wireline logging …