Image 11_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif حسب Dongkai Zhou (573504)

"…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …"

Image 8_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif حسب Dongkai Zhou (573504)

"…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …"

Image 5_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif حسب Dongkai Zhou (573504)

"…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …"

Image 10_Integration of bulk and single-cell transcriptomic data reveals a novel signature related to liver metastasis and basement membrane in pancreatic cancer.tif حسب Dongkai Zhou (573504)

"…The prognostic model was established using machine learning algorithms and multivariate Cox regression analyses. …"

Table 1_Integrated analysis of lncRNA and mRNA expression profiles in cutaneous leishmaniasis lesions caused by Leishmania tropica.xlsx حسب Shima Hadifar (8681223)

"…</p>Methods<p>Herein, we used our previous RNA sequencing data (GSE216638) to investigate the profile of lncRNAs in the skin lesions of L. tropica-infected patients. …"

Table 3_Integrated analysis of lncRNA and mRNA expression profiles in cutaneous leishmaniasis lesions caused by Leishmania tropica.xlsx حسب Shima Hadifar (8681223)

"…</p>Methods<p>Herein, we used our previous RNA sequencing data (GSE216638) to investigate the profile of lncRNAs in the skin lesions of L. tropica-infected patients. …"

Genomics dataset of marine isolate Streptomyces griseoincarnatus strain R-35 حسب Danielle Dana Mitchell (20461301)

"…Genome annotations performed using the Rapid Annotation with Subsystem Technology (RAST) and the Bacterial and Viral Bioinformatics Resource Centre (BV-BRC) determined the presence of 7996 coding sequences (CDS), 63 transfer RNAs (tRNAs), and six ribosomal RNAs (rRNAs). …"

Table 4_Integrated analysis of lncRNA and mRNA expression profiles in cutaneous leishmaniasis lesions caused by Leishmania tropica.xlsx حسب Shima Hadifar (8681223)

"…</p>Methods<p>Herein, we used our previous RNA sequencing data (GSE216638) to investigate the profile of lncRNAs in the skin lesions of L. tropica-infected patients. …"

Table 2_Integrated analysis of lncRNA and mRNA expression profiles in cutaneous leishmaniasis lesions caused by Leishmania tropica.xlsx حسب Shima Hadifar (8681223)

"…</p>Methods<p>Herein, we used our previous RNA sequencing data (GSE216638) to investigate the profile of lncRNAs in the skin lesions of L. tropica-infected patients. …"

Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples حسب Derek Lam (11944213)

"…Phase contrast microscopy (Zeiss, 10X objective) was employed to capture high-resolution images. Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …"

Table 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.xlsx حسب Roberto Visalli (8152251)

"…<p>The adoption of semi-automated image processing methods to investigate geo-petrological processes has grown quickly in recent years. …"

Data Sheet 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.docx حسب Roberto Visalli (8152251)

"…<p>The adoption of semi-automated image processing methods to investigate geo-petrological processes has grown quickly in recent years. …"

Image 4_Identification of three T cell-related genes as diagnostic and prognostic biomarkers for triple-negative breast cancer and exploration of potential mechanisms.tif حسب Zhi-Chuan He (21563657)

"…Differentially expressed genes (DEGs) between TNBC and other BRCA subtypes were intersected with T cell-related genes to identify candidate biomarkers. Machine learning algorithms were used to screen for key hub genes, which were then used to construct a logistic regression (LR) model. …"

Table 2_Multi-omics analysis reveals ultraviolet response insights for immunotherapy and prognosis.docx حسب DanHua Zhang (22315099)

"…Key genes (Hub-UVR.Sig) were identified via six machine learning algorithms, and breast cancer (BRCA) subtypes were classified through consensus clustering. …"

Image 3_Identification of three T cell-related genes as diagnostic and prognostic biomarkers for triple-negative breast cancer and exploration of potential mechanisms.tif حسب Zhi-Chuan He (21563657)

"…Differentially expressed genes (DEGs) between TNBC and other BRCA subtypes were intersected with T cell-related genes to identify candidate biomarkers. Machine learning algorithms were used to screen for key hub genes, which were then used to construct a logistic regression (LR) model. …"

Image2_Multiple cell-death patterns predict the prognosis and drug sensitivity of melanoma patients.TIF حسب Zewei Chen (2936157)

"…</p>Results<p>A CDI consisting of ten gene signatures was established using machine learning algorithms and divided into two groups based on CDI values. …"

Table 1_Identification of three T cell-related genes as diagnostic and prognostic biomarkers for triple-negative breast cancer and exploration of potential mechanisms.xlsx حسب Zhi-Chuan He (21563657)

"…Differentially expressed genes (DEGs) between TNBC and other BRCA subtypes were intersected with T cell-related genes to identify candidate biomarkers. Machine learning algorithms were used to screen for key hub genes, which were then used to construct a logistic regression (LR) model. …"

Image 3_Dysregulated arginine metabolism is associated with pro-tumor neutrophil polarization in liver cancer.tif حسب Xingchao Liu (3501161)

"…Intercellular communication was analyzed using CellChat, while machine learning, incorporating seven different algorithms, was applied to identify key regulatory genes.…"

Image 1_Identification of three T cell-related genes as diagnostic and prognostic biomarkers for triple-negative breast cancer and exploration of potential mechanisms.tif حسب Zhi-Chuan He (21563657)

"…Differentially expressed genes (DEGs) between TNBC and other BRCA subtypes were intersected with T cell-related genes to identify candidate biomarkers. Machine learning algorithms were used to screen for key hub genes, which were then used to construct a logistic regression (LR) model. …"

Image 1_PCDHGA10 as a potential prognostic biomarker and correlated with immune infiltration in gastric cancer.tif حسب Mingyang Zhong (11022996)

"…Additionally, with IHC and mIHC, we applied the machine-learning algorithms to evaluate the localization and expression levels of TILs and immune checkpoints in the tumor microenvironment. …"