Table_2_Identification of Candidate Biomarker ASXL2 and Its Predictive Value in Pancreatic Carcinoma.xlsx حسب Gaoming Wang (10165973)

"…GSEA along with GO and KEGG enrichment analyses were conducted to uncover the biological functions of ASXL2. The response to various chemotherapeutic drugs was estimated by algorithms in R package “pRRophetic”, while the sensitivity to immunotherapy was quantified by TIDE score. …"

Data_Sheet_2_EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis.xlsx حسب Jianwei Shi (705226)

"…Background<p>At the intersection of neural monitoring and decoding, event-related potential (ERP) based on electroencephalography (EEG) has opened a window into intrinsic brain function. The stability of ERP makes it frequently employed in the field of neuroscience. …"

Data_Sheet_1_EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis.xlsx حسب Jianwei Shi (705226)

"…Background<p>At the intersection of neural monitoring and decoding, event-related potential (ERP) based on electroencephalography (EEG) has opened a window into intrinsic brain function. The stability of ERP makes it frequently employed in the field of neuroscience. …"

The Modelling and Design of Solid State Transformer for Smart Energy حسب Adimchinobi Asiegbu (17398687)

"…The equations, mathematical functions, and algorithms developed in this study will help in the design of converters DC links, and the combinations of these components culminating in the design of the SST.…"

Image1_Development and verification of the glycolysis-associated and immune-related prognosis signature for hepatocellular carcinoma.TIFF حسب Bo Hu (126105)

"…<p>Background: Hepatocellular carcinoma (HCC) refers to the malignant tumor associated with a high mortality rate. This work focused on identifying a robust tumor glycolysis-immune-related gene signature to facilitate the prognosis prediction of HCC cases.…"

Table3_Development and verification of the glycolysis-associated and immune-related prognosis signature for hepatocellular carcinoma.XLSX حسب Bo Hu (126105)

"…<p>Background: Hepatocellular carcinoma (HCC) refers to the malignant tumor associated with a high mortality rate. This work focused on identifying a robust tumor glycolysis-immune-related gene signature to facilitate the prognosis prediction of HCC cases.…"

Table2_Development and verification of the glycolysis-associated and immune-related prognosis signature for hepatocellular carcinoma.XLSX حسب Bo Hu (126105)

"…<p>Background: Hepatocellular carcinoma (HCC) refers to the malignant tumor associated with a high mortality rate. This work focused on identifying a robust tumor glycolysis-immune-related gene signature to facilitate the prognosis prediction of HCC cases.…"

Table4_Development and verification of the glycolysis-associated and immune-related prognosis signature for hepatocellular carcinoma.XLS حسب Bo Hu (126105)

"…<p>Background: Hepatocellular carcinoma (HCC) refers to the malignant tumor associated with a high mortality rate. This work focused on identifying a robust tumor glycolysis-immune-related gene signature to facilitate the prognosis prediction of HCC cases.…"

Table1_Development and verification of the glycolysis-associated and immune-related prognosis signature for hepatocellular carcinoma.XLS حسب Bo Hu (126105)

"…<p>Background: Hepatocellular carcinoma (HCC) refers to the malignant tumor associated with a high mortality rate. This work focused on identifying a robust tumor glycolysis-immune-related gene signature to facilitate the prognosis prediction of HCC cases.…"

Supplementary Material for: The importance of early diagnosis and intervention in chronic kidney disease: Calls-to-action from nephrologists based mainly in Central/Eastern Europe حسب Covic A. (4148122)

"…Lack of awareness of CKD, substandard indicators of kidney function, suboptimal screening rates, and geographical disparities in reimbursement often hamper access to effective care. …"

Image_1_Identification of a Costimulatory Molecule Gene Signature to Predict Survival and Immunotherapy Response in Head and Neck Squamous Cell Carcinoma.tiff حسب Ling Aye (11248419)

"…CMS was an independent risk factor and could indicate the survival of HNSCC patients, the component of tumor-infiltrating lymphocytes, and the immunotherapy response rate. Functional enrichment analysis confirmed that CMS might involve immune-relevant processes. …"

Image_3_Identification of a Costimulatory Molecule Gene Signature to Predict Survival and Immunotherapy Response in Head and Neck Squamous Cell Carcinoma.tiff حسب Ling Aye (11248419)

"…CMS was an independent risk factor and could indicate the survival of HNSCC patients, the component of tumor-infiltrating lymphocytes, and the immunotherapy response rate. Functional enrichment analysis confirmed that CMS might involve immune-relevant processes. …"

Image_2_Identification of a Costimulatory Molecule Gene Signature to Predict Survival and Immunotherapy Response in Head and Neck Squamous Cell Carcinoma.tiff حسب Ling Aye (11248419)

"…CMS was an independent risk factor and could indicate the survival of HNSCC patients, the component of tumor-infiltrating lymphocytes, and the immunotherapy response rate. Functional enrichment analysis confirmed that CMS might involve immune-relevant processes. …"

Trends in Cystic Fibrosis Related Diabetes Epidemiology between 2003-2018 from the US Cystic Fibrosis Foundation Patient Registry حسب Celia L Kohler (21211119)

"…Although screening rates increased in adults, overall rates remain low. …"

Table_5_Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury.XLSX حسب Ting Li (117885)

"…<p>Drug-induced liver injury (DILI) is one of the most cited reasons for the high drug attrition rate and drug withdrawal from the market. The accumulated large amount of high throughput transcriptomic profiles and advances in deep learning provide an unprecedented opportunity to improve the suboptimal performance of DILI prediction. …"

Table_3_Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury.XLSX حسب Ting Li (117885)

"…<p>Drug-induced liver injury (DILI) is one of the most cited reasons for the high drug attrition rate and drug withdrawal from the market. The accumulated large amount of high throughput transcriptomic profiles and advances in deep learning provide an unprecedented opportunity to improve the suboptimal performance of DILI prediction. …"

Image_3_Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury.pdf حسب Ting Li (117885)

"…<p>Drug-induced liver injury (DILI) is one of the most cited reasons for the high drug attrition rate and drug withdrawal from the market. The accumulated large amount of high throughput transcriptomic profiles and advances in deep learning provide an unprecedented opportunity to improve the suboptimal performance of DILI prediction. …"

Table_2_Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury.xlsx حسب Ting Li (117885)

"…<p>Drug-induced liver injury (DILI) is one of the most cited reasons for the high drug attrition rate and drug withdrawal from the market. The accumulated large amount of high throughput transcriptomic profiles and advances in deep learning provide an unprecedented opportunity to improve the suboptimal performance of DILI prediction. …"

Table_1_Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury.XLSX حسب Ting Li (117885)

"…<p>Drug-induced liver injury (DILI) is one of the most cited reasons for the high drug attrition rate and drug withdrawal from the market. The accumulated large amount of high throughput transcriptomic profiles and advances in deep learning provide an unprecedented opportunity to improve the suboptimal performance of DILI prediction. …"

Data_Sheet_1_A Swarm Optimization Solver Based on Ferroelectric Spiking Neural Networks.PDF حسب Yan Fang (443710)

"…., bird flocks, fish school and ant colonies. SI algorithms provide efficient and practical solutions to many difficult optimization problems through multi-agent metaheuristic search. …"