Image 1_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tif حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Image 4_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tif حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Image 2_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tiff حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

Image 3_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tiff حسب Hanlin Yu (17776399)

"…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …"

C3VD-Raycasting-10k: A Clinical Point Cloud Registration Dataset for Image-Guided Colonoscopy حسب Linzhe Jiang (22633454)

"…</p><p dir="ltr">The dataset is derived from clinical CT and endoscopy data provided by the Colonoscopy 3D Video Dataset (C3VD)<b> </b>[Bobrow et al., MedIA 2023]. …"

Image 2_Intra-tumor heterogeneity-resistant gene signature predicts prognosis and immune infiltration in breast cancer.jpeg حسب Haixing Shen (22315486)

"…A machine learning framework incorporating ten algorithms was used to construct a prognostic signature.The expression levels and oncogenic function of the prognostic genes were validated through RT-qPCR and in vitro experiments.…"

Image 1_Intra-tumor heterogeneity-resistant gene signature predicts prognosis and immune infiltration in breast cancer.jpeg حسب Haixing Shen (22315486)

"…A machine learning framework incorporating ten algorithms was used to construct a prognostic signature.The expression levels and oncogenic function of the prognostic genes were validated through RT-qPCR and in vitro experiments.…"

Table 2_Unraveling the role of histone acetylation in sepsis biomarker discovery.docx حسب Feng Cheng (124653)

"…</p>Methods<p>Transcriptomic and single-cell RNA sequencing data were used to identify histone acetylation-related genes. …"

Table 3_Unraveling the role of histone acetylation in sepsis biomarker discovery.docx حسب Feng Cheng (124653)

"…</p>Methods<p>Transcriptomic and single-cell RNA sequencing data were used to identify histone acetylation-related genes. …"

Table 1_Unraveling the role of histone acetylation in sepsis biomarker discovery.docx حسب Feng Cheng (124653)

"…</p>Methods<p>Transcriptomic and single-cell RNA sequencing data were used to identify histone acetylation-related genes. …"

Image 2_Unraveling the role of histone acetylation in sepsis biomarker discovery.tif حسب Feng Cheng (124653)

"…</p>Methods<p>Transcriptomic and single-cell RNA sequencing data were used to identify histone acetylation-related genes. …"

Table 4_Unraveling the role of histone acetylation in sepsis biomarker discovery.xlsx حسب Feng Cheng (124653)

"…</p>Methods<p>Transcriptomic and single-cell RNA sequencing data were used to identify histone acetylation-related genes. …"

Image 1_Unraveling the role of histone acetylation in sepsis biomarker discovery.tif حسب Feng Cheng (124653)

"…</p>Methods<p>Transcriptomic and single-cell RNA sequencing data were used to identify histone acetylation-related genes. …"

Table 5_Unraveling the role of histone acetylation in sepsis biomarker discovery.csv حسب Feng Cheng (124653)

"…</p>Methods<p>Transcriptomic and single-cell RNA sequencing data were used to identify histone acetylation-related genes. …"

Unveiling the ageing-related genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning حسب Jian Huang (7250)

"…The limma package was used to identify differentially expressed genes (DEGs), and weighted gene coexpression network analysis (WGCNA) screened gene modules, and machine learning algorithms, such as random forest (RF), support vector machine (SVM), generalised linear model (GLM), and extreme gradient boosting (XGB), were employed. …"

Image 3_Multi-omics reveals efferocytosis-related hub genes as biomarkers for ustekinumab response in colitis.pdf حسب Jun-meng Wang (9959245)

"…Machine learning algorithms screened hub genes, followed by molecular docking to assess interactions with UST. …"

Image 3_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png حسب Erin McDonald (3535409)

"…</p>Methods<p>This pilot study employs high parameter immunophenotyping panels (15 markers for dog, 12 for cat) and leverages unsupervised clustering to identify immune cell populations. Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …"

Image 4_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png حسب Erin McDonald (3535409)

"…</p>Methods<p>This pilot study employs high parameter immunophenotyping panels (15 markers for dog, 12 for cat) and leverages unsupervised clustering to identify immune cell populations. Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …"

Image 1_Multi-omics reveals efferocytosis-related hub genes as biomarkers for ustekinumab response in colitis.tif حسب Jun-meng Wang (9959245)

"…Machine learning algorithms screened hub genes, followed by molecular docking to assess interactions with UST. …"

Image 4_Multi-omics reveals efferocytosis-related hub genes as biomarkers for ustekinumab response in colitis.pdf حسب Jun-meng Wang (9959245)

"…Machine learning algorithms screened hub genes, followed by molecular docking to assess interactions with UST. …"