Jingyang Gao
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View article: Comparison of clinical effects of aspherical monofocal and Tecnis ZMB00 multifocal intraocular lenses in patients with age-related cataract
Comparison of clinical effects of aspherical monofocal and Tecnis ZMB00 multifocal intraocular lenses in patients with age-related cataract Open
Objective: To compare the clinical effects and outcomes in patients implanted with aspheric monofocal and multifocal intraoeular lens. Method: This study was conducted from January 2020 to January 2023 at Harbin 242 Hospital in China, usin…
View article: VirNucPro: an identifier for the identification of viral short sequences using six-frame translation and large language models
VirNucPro: an identifier for the identification of viral short sequences using six-frame translation and large language models Open
Viruses are ubiquitous in nature, yet our understanding of them remains limited. High-throughput sequencing technology facilitates the unbiased revelation of genetic composition in samples; however, viral sequences typically make up a smal…
View article: Interactions Between Trivalent Elements Enable Ultrastable LDH Cathode for High-Performance Zinc Battery
Interactions Between Trivalent Elements Enable Ultrastable LDH Cathode for High-Performance Zinc Battery Open
Layered double hydroxides (LDHs) are one class of two-dimensional materials, with tunable chemical composition and large interlayer spacing, that is a potential cathode material candidate for aqueous zinc-ion batteries (AZIBs). Nevertheles…
View article: GWAS and WGCNA analysis uncover candidate genes associated with drought in Brassica juncea L.
GWAS and WGCNA analysis uncover candidate genes associated with drought in Brassica juncea L. Open
Drought poses a major challenge to crop growth and yield, and exploring the drought tolerance of crops is an effective and economical approach to mitigating the effects of drought. To screen drought-tolerant germplasm resources and key fun…
View article: Insight into molecular and neural mechanisms of general anesthesia from the invertebrate model <i>Drosophila melanogaster</i>
Insight into molecular and neural mechanisms of general anesthesia from the invertebrate model <i>Drosophila melanogaster</i> Open
General anesthesia (GA) is a pharmacologically induced, reversible state characterized by unconsciousness, amnesia, analgesia, and immobility in response to noxious stimuli. Accumulating evidence from animal models has elucidated diverse m…
View article: Knowledge, attitudes and practices of healthcare professionals in the management of patients with hypertension and concurrent bronchial asthma: a cross-sectional study in the Yellow River Delta region of China
Knowledge, attitudes and practices of healthcare professionals in the management of patients with hypertension and concurrent bronchial asthma: a cross-sectional study in the Yellow River Delta region of China Open
Objective To assess the Knowledge, Attitudes and Practices (KAP) among healthcare professionals in managing patients with coexisting hypertension and bronchial asthma. Design A cross-sectional survey. The reporting of this study followed t…
View article: MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction
MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction Open
Experimental results and case study demonstrate the superior performance of our approach in DTA prediction tasks, showing its potential in practical applications such as drug discovery and disease treatment.
View article: DeepPFP: a multi-task-aware architecture for protein function prediction
DeepPFP: a multi-task-aware architecture for protein function prediction Open
Deriving protein function from protein sequences poses a significant challenge due to the intricate relationship between sequence and function. Deep learning has made remarkable strides in predicting sequence-function relationships. Howeve…
View article: GGN-GO: geometric graph networks for predicting protein function by multi-scale structure features
GGN-GO: geometric graph networks for predicting protein function by multi-scale structure features Open
Recent advances in high-throughput sequencing have led to an explosion of genomic and transcriptomic data, offering a wealth of protein sequence information. However, the functions of most proteins remain unannotated. Traditional experimen…
View article: Comparative Analysis of Machine Learning Models and Key Risk Factors in Advancing Predictive Analytics for Coronary Heart Disease Over a Decade
Comparative Analysis of Machine Learning Models and Key Risk Factors in Advancing Predictive Analytics for Coronary Heart Disease Over a Decade Open
This study aimed to identify key risk factors for coronary heart disease (CHD) and assess the performance of various machine learning models in predicting 10-year CHD risk. We conducted an exploratory data analysis using data from the Fram…
View article: Investigating cross-organism prediction of prokaryotic essential proteins using unsupervised language model and ensemble strategy
Investigating cross-organism prediction of prokaryotic essential proteins using unsupervised language model and ensemble strategy Open
Background Cross-organism prediction of essential proteins significantly improves the discovery of new drugs and the ability to re-engineer microorganisms. Despite the proficiency of current methodologies in machine learning and deep learn…
View article: Deletion variants calling in third-generation sequencing data based on a dual-attention mechanism
Deletion variants calling in third-generation sequencing data based on a dual-attention mechanism Open
Deletion is a crucial type of genomic structural variation and is associated with numerous genetic diseases. The advent of third-generation sequencing technology has facilitated the analysis of complex genomic structures and the elucidatio…
View article: ViroISDC: a method for calling integration sites of hepatitis B virus based on feature encoding
ViroISDC: a method for calling integration sites of hepatitis B virus based on feature encoding Open
View article: scIALM: A method for sparse scRNA-seq expression matrix imputation using the Inexact Augmented Lagrange Multiplier with low error
scIALM: A method for sparse scRNA-seq expression matrix imputation using the Inexact Augmented Lagrange Multiplier with low error Open
Single-cell RNA sequencing (scRNA-seq) is a high-throughput sequencing technology that quantifies gene expression profiles of specific cell populations at the single-cell level, providing a foundation for studying cellular heterogeneity an…
View article: DeepHipp: accurate segmentation of hippocampus using 3D dense-block based on attention mechanism
DeepHipp: accurate segmentation of hippocampus using 3D dense-block based on attention mechanism Open
View article: CTCs Detection and Whole-exome Sequencing Might Be Used to Differentiate Benign and Malignant Pulmonary Nodules.
CTCs Detection and Whole-exome Sequencing Might Be Used to Differentiate Benign and Malignant Pulmonary Nodules. Open
CTCs play an ancillary role in the diagnosis of pulmonary nodules. TP53 mutations in CTCs might be used to identify benign and malignant pulmonary nodules.
View article: Myeloid FoxO1 depletion attenuates hepatic inflammation and prevents nonalcoholic steatohepatitis
Myeloid FoxO1 depletion attenuates hepatic inflammation and prevents nonalcoholic steatohepatitis Open
Hepatic inflammation is culpable for the evolution of asymptomatic steatosis to nonalcoholic steatohepatitis (NASH). Hepatic inflammation results from abnormal macrophage activation. We found that FoxO1 links overnutrition to hepatic infla…
View article: Relationship of Vitamin A and Thyroid Function in Individuals With Obesity and After Laparoscopic Sleeve Gastrectomy
Relationship of Vitamin A and Thyroid Function in Individuals With Obesity and After Laparoscopic Sleeve Gastrectomy Open
Vitamin A deficiency (VAD) occurs in obesity and may be associated with thyroid dysfunction. We aimed to investigate the association of VA with thyroid function in obesity and after laparoscopic sleeve gastrectomy (LSG). Nine hundred and s…
View article: Detection of Chip Layered Defects Based on Dual Focus Mechanism
Detection of Chip Layered Defects Based on Dual Focus Mechanism Open
Chip layering defects affect the performance of chips and lead to the failure of chips, so chip layering defects detection is an important step in the quality acceptance of chip production. Chip layering defects, which are characterized by…
View article: J-Shaped Relationship Between Serum Prolactin and Metabolic-Associated Fatty Liver Disease in Female Patients With Type 2 Diabetes
J-Shaped Relationship Between Serum Prolactin and Metabolic-Associated Fatty Liver Disease in Female Patients With Type 2 Diabetes Open
Background Metabolic-associated fatty liver disease (MAFLD) has become a worldwide epidemic. Prolactin (PRL), a pituitary hormone, has been linked to MAFLD. As a result, we set out to look into the relationship between serum PRL and the ri…
View article: An efficient scRNA-seq dropout imputation method using graph attention network
An efficient scRNA-seq dropout imputation method using graph attention network Open
View article: MaxDEL: Accurate and Efficient Calling Genomic Deletions From Single Molecular Real-Time Sequencing Using Integrated Method
MaxDEL: Accurate and Efficient Calling Genomic Deletions From Single Molecular Real-Time Sequencing Using Integrated Method Open
Background: Single-molecule real-time (SMRT) sequencing data are characterized by long reads and high read depth. Compared with next-generation sequencing (NGS), SMRT sequencing data can present more structural variations (SVs) and has gre…
View article: A review of the application of deep learning in medical image classification and segmentation
A review of the application of deep learning in medical image classification and segmentation Open
Big medical data mainly include electronic health record data, medical image data, gene information data, etc. Among them, medical image data account for the vast majority of medical data at this stage. How to apply big medical data to cli…
View article: Depletion of hepatic forkhead box O1 does not affect cholelithiasis in male and female mice
Depletion of hepatic forkhead box O1 does not affect cholelithiasis in male and female mice Open
Cholelithiasis is one of the most prevalent gastroenterological diseases and is characterized by the formation of gallstones in the gallbladder. Both clinical and preclinical data indicate that obesity, along with comorbidity insulin resis…
View article: InvBFM: finding genomic inversions from high-throughput sequence data based on feature mining
InvBFM: finding genomic inversions from high-throughput sequence data based on feature mining Open
Background Genomic inversion is one type of structural variations (SVs) and is known to play an important biological role. An established problem in sequence data analysis is calling inversions from high-throughput sequence data. It is mor…
View article: Changes of serum retinol-binding protein 4 associated with improved insulin resistance after laparoscopic sleeve gastrectomy in Chinese obese patients
Changes of serum retinol-binding protein 4 associated with improved insulin resistance after laparoscopic sleeve gastrectomy in Chinese obese patients Open
Background Serum retinol-binding protein 4 (RBP4) plays a critical role in insulin resistance. The mechanism behind the impact of laparoscopic sleeve gastrectomy (LSG) on glucose metabolism is unclear. Hence, we aimed to investigate the tr…
View article: DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network
DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network Open
Background Calling genetic variations from sequence reads is an important problem in genomics. There are many existing methods for calling various types of variations. Recently, Google developed a method for calling single nucleotide polym…
View article: DeepSV: Accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network
DeepSV: Accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network Open
Background Calling genetic variations from sequence reads is an important problem in genomics. There are many existing methods for calling various types of variations. Recently, Google developed a method for calling single nucleotide polym…
View article: MLFSdel: An accurate approach to discover genome deletions
MLFSdel: An accurate approach to discover genome deletions Open
Genome deletions are one of the common types of structural variations.The discovery of deletions has become an important research field in SVs detection of genome sequences.At present, the existing methods have their own limitations, and t…
View article: Integrated Sequence Assembly-based Approach for Calling Genomic Long Insertion
Integrated Sequence Assembly-based Approach for Calling Genomic Long Insertion Open
With the application and development of high-throughput sequencing technology, the detection methods of structural variants based on sequencing have emerged.However, since the high-throughput sequencing reads is relatively short compared t…