[HTML][HTML] Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images

R Raza, F Zulfiqar, MO Khan, M Arif, A Alvi… - … Applications of Artificial …, 2023 - Elsevier
Lung cancer (LC) remains a leading cause of death worldwide. Early diagnosis is critical to
protect innocent human lives. Computed tomography (CT) scans are one of the primary …

H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNA

NT Pham, R Rakkiyapan, J Park, A Malik… - Briefings in …, 2024 - academic.oup.com
O-methylation (2OM) is the most common post-transcriptional modification of RNA. It plays a
crucial role in RNA splicing, RNA stability and innate immunity. Despite advances in high …

Review of computational methods and database sources for predicting the effects of coding frameshift small insertion and deletion variations

F Ge, M Arif, Z Yan, H Alahmadi… - ACS …, 2024 - ACS Publications
Genetic variations (including substitutions, insertions, and deletions) exert a profound
influence on DNA sequences. These variations are systematically classified as synonymous …

[HTML][HTML] Genome-wide prediction of pathogenic gain-and loss-of-function variants from ensemble learning of a diverse feature set

D Stein, ME Kars, Y Wu, ÇS Bayrak, PD Stenson… - Genome Medicine, 2023 - Springer
Abstract Gain-of-function (GOF) variants give rise to increased/novel protein functions
whereas loss-of-function (LOF) variants lead to diminished protein function. Experimental …

Distances from ligands as main predictive features for pathogenicity and functional effect of variants in NMDA receptors

L Montanucci, T Brünger, N Bhattarai, CM Boßelmann… - medRxiv, 2024 - medrxiv.org
Genetic variants in genes GRIN1, GRIN2A, GRIN2B, and GRIN2D, which encode subunits of
the N-methyl-D-aspartate receptor (NMDAR), have been associated with severe and …

Diseño y desarrollo de un algoritmo de clasificación de variaciones genómicas asociadas a las cardiopatías familiares

M Costa Sánchez, O Pastor López - 2023 - riunet.upv.es
[ES] Los avances en las técnicas de secuenciación masiva durante estas últimas décadas
(Next generation sequencing, NGS) han permitido secuenciar genomas individuales en un …

XGboost-Ampy: Identification of AMPylation Protein Function Prediction Using Machine Learning

ZNK Swati, A Ghulam, M Sohail, JU Arshed… - … on Computer Sciences, 2022 - vfast.org
A developing post-translational modification known as AMPylation involves the formation of
a phosphodiester bond on the hydroxyl group of threonine, serine, or tyrosine. Adenosine …