A tool to generate genomewide haplotype by stitching smaller haplotype blocks in hybrid samples. حسب Bishwa Giri (20922854)

"…</p><p dir="ltr">We built a group of haplotype phasing tools/algorithms: Phase-Extender, Phase-Stitcher. <br>These tools aim to fulfill the following major requirements - be able to customize parameters during haplotype phasing and run haplotype phasing using genotype containing unphased and read-backed-phased VCF data. …"

Table 5_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.xlsx حسب Xueqing Zou (2144722)

"…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …"

Image 2_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.jpeg حسب Xueqing Zou (2144722)

"…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …"

Image 3_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.jpeg حسب Xueqing Zou (2144722)

"…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …"

Table 3_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.xlsx حسب Xueqing Zou (2144722)

"…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …"

Image 5_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif حسب Xudong Shen (205653)

"…</p>Methods<p>We conducted bulk transcriptome differential analysis using our sequencing data, in conjunction with the AS dataset (GSE231569). …"

Table 1_Transcriptomic exploration yields novel perspectives on the regulatory network underlying trichome initiation in Gossypium arboreum hypocotyl.xlsx حسب Yuxing Xie (21639917)

"…<p>Trichomes play a crucial role in plant stress tolerance and serve as an excellent model for studying epidermal cell differentiation. …"

Image 1_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.jpeg حسب Xueqing Zou (2144722)

"…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …"

Image 6_Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.jpeg حسب Xueqing Zou (2144722)

"…</p>Methods<p>In this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …"

Analysis topics. حسب Harry Hochheiser (3413396)

"…<div><p><b>Objective:</b> To challenge clinicians and informaticians to learn about potential sources of bias in medical machine learning models through investigation of data and predictions from an open-source severity of illness score.…"

Optimizing critical quality attributes of fast disintegrating tablets using artificial neural networks: a scientific benchmark study حسب Jagruti Desai (20400468)

"…<p>The objective of this study is to create predictive models utilizing machine learning algorithms, including Artificial Neural Networks (ANN), k-nearest neighbor (kNN), support vector machines (SVM), and linear regression, to predict critical quality attributes (CQAs) such as hardness, friability, and disintegration time of fast disintegrating tablets (FDTs).…"

Table 3_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat... حسب Guiling Wu (6031019)

"…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …"

Table 6_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat... حسب Guiling Wu (6031019)

"…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …"

Table 9_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat... حسب Guiling Wu (6031019)

"…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …"

Table 10_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental valida... حسب Guiling Wu (6031019)

"…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …"

Table 1_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat... حسب Guiling Wu (6031019)

"…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …"

Table 14_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental valida... حسب Guiling Wu (6031019)

"…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …"

Table 11_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental valida... حسب Guiling Wu (6031019)

"…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …"

Table 2_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat... حسب Guiling Wu (6031019)

"…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …"

Table 7_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validat... حسب Guiling Wu (6031019)

"…Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. …"