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UBI-XGB: Identification of ubiquitin proteins using machine learning model
A recent line of research has focused on Ubiquitination, a pervasive and proteasome-
mediated protein degradation that controls apoptosis and is crucial in the breakdown of …
mediated protein degradation that controls apoptosis and is crucial in the breakdown of …
DeepImmuno-PSSM: Identification of Immunoglobulin based on Deep learning and PSSM-Profiles
Immunoglobulin has a close connection to a number of disorders and is important in both
biological and medicinal contexts. Therefore, it is crucial for illness research to employ …
biological and medicinal contexts. Therefore, it is crucial for illness research to employ …
An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction
Z He, L Zhang, H Wang - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
Human motion prediction is one of the fundamental studies of computer vision. Much work
based on deep learning has shown impressive performance for it in recent years. However …
based on deep learning has shown impressive performance for it in recent years. However …
Accurate few-shot object counting with Hough matching feature enhancement
Z He, D Zheng, H Wang - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
Introduction Given some exemplars, few-shot object counting aims to count the
corresponding class objects in query images. However, when there are many target objects …
corresponding class objects in query images. However, when there are many target objects …
Fractional WSD: Fractional war strategy dingo optimization with unified segmentation for detection of skin cancer
Skin cancer represents a general cancer type. Earlier treatment and diagnosis are important
tasks in skin cancer. The models, like deep learning, are generally utilized for diagnosing …
tasks in skin cancer. The models, like deep learning, are generally utilized for diagnosing …
StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach
Hypertension, often known as high blood pressure, is a major concern to millions of
individuals globally. Recent studies have demonstrated the significant efficacy of naturally …
individuals globally. Recent studies have demonstrated the significant efficacy of naturally …
2DCNN_CLA: Accurate prediction of Clathrin proteins using hyperparameter optimization in deep learning and DDE profiles
Abstract Background and Objectives: The adaptor protein clathrin is the major component of
the vesicle-coating complex, and it plays a role in the cleavage of the membrane of …
the vesicle-coating complex, and it plays a role in the cleavage of the membrane of …
[PDF][PDF] UCH-L1: Implications in the Developmental Onset of PD and Hypertension
N Chan - 2024 - nhsjs.com
Ubiquitin Carboxyl-Terminal Hydrolase L1 (UCH-L1), a key player in the Ubiquitin-
Proteasome System (UPS) and protein degradation, is spotlighted in this review for its …
Proteasome System (UPS) and protein degradation, is spotlighted in this review for its …
Deep-m5U: a deep learning-based approach for RNA 5-methyluridine modification prediction using optimized feature integration
S Noor, A Naseem, HH Awan, W Aslam, S Khan… - BMC …, 2024 - Springer
Abstract Background RNA 5-methyluridine (m5U) modifications play a crucial role in
biological processes, making their accurate identification a key focus in computational …
biological processes, making their accurate identification a key focus in computational …
Classification of Brain Functional Connections for Tone Processing in Deaf Children Based on 1D-CNN
M Shi, Q Li, Y Meng - Proceedings of the 2023 2nd International …, 2023 - dl.acm.org
Purpose: This study investigates variations in brain functional connectivity and activation
regions during the processing of three different tones (first tone, second tone, third tone) in …
regions during the processing of three different tones (first tone, second tone, third tone) in …