Construction of a novel prognostic model based on lncRNAs-related to DNA damage repair for predicting the prognosis of clear cell renal cell carcinoma حسب Peng Chen (6514)

"…The purpose of this study was to explore the potential value of lncRNAs-related to DNA damage repair (DDR) in predicting the prognosis of ccRCC by construction and verification a novel prognostic model.</p> <p>RNA-seq data and clinical data of ccRCC were downloaded from public databases. …"

Table1_DeepO-GlcNAc: a web server for prediction of protein O-GlcNAcylation sites using deep learning combined with attention mechanism.xlsx حسب Liyuan Zhang (220168)

"…Recent advancements in deep learning algorithms and the availability of O-GlcNAc proteomics data present an opportunity to improve O-GlcNAc site prediction.…"

Dataset for Partial Parallelism Plot Analysis in Neurodegeneration Biomarker Assays (2010–2024) حسب Axel Petzold (7076261)

"…<br></p><p dir="ltr">Each dataset entry is annotated with:</p><ul><li>Sample type (serum, plasma, cerebrospinal fluid)</li><li>Assay platform and dilution steps</li><li>Classification of outcome (partial parallelism achieved or not)</li></ul><p dir="ltr"><b>Use cases:</b><br>This dataset is designed to help researchers, assay developers, and meta-analysts to:</p><ul><li>Reproduce figures and analyses from the published review</li><li>Benchmark or validate new assay performance pipelines</li><li>Train algorithms for automated detection of dilutional non-parallelism</li></ul><p dir="ltr"><b>Files included:</b></p><ul><li><code>.csv</code> files containing dilution–response data</li><li>Metadata spreadsheets with assay and sample annotations</li></ul><p></p>…"

Table 2_Unraveling the role of coagulation-related genes in esophageal squamous cell carcinoma: development of a prognostic model and exploration of potential clinical significance... حسب Langlang Deng (22381786)

"…</p>Methods<p>To investigate this, we integrated various multi-omics datasets, including mRNA expression data from TCGA and GEO, single-cell RNA sequencing data, as well as DNA mutation and methylation profiles. …"

Table 1_Unraveling the role of coagulation-related genes in esophageal squamous cell carcinoma: development of a prognostic model and exploration of potential clinical significance... حسب Langlang Deng (22381786)

"…</p>Methods<p>To investigate this, we integrated various multi-omics datasets, including mRNA expression data from TCGA and GEO, single-cell RNA sequencing data, as well as DNA mutation and methylation profiles. …"

archive.zip حسب Tasneem Fatima (21976946)

"…The structured dataset suggests an intent to train and evaluate deep learning algorithms on real-world image data for practical deployment in grain procurement or quality monitoring systems.…"

Uncertainty and Novelty in Machine Learning حسب Derek Scott Prijatelj (20364288)

"…Through the computation of the indicator function, model identifiability and sample complexity are defined and their properties are described for different data-generating processes, ranging from deterministic to ergodic stationary stochastic processes. …"

Table3_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).docx حسب Huafei Tang (19710232)

"…</p>Methods<p>By extracting all available data since the FDA approval of ESL (2013Q4-2024Q1), disproportionality analysis was performed using reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and multi-item gamma Poisson shrinker (MGPS) algorithms. …"

Table1_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).XLSX حسب Huafei Tang (19710232)

"…</p>Methods<p>By extracting all available data since the FDA approval of ESL (2013Q4-2024Q1), disproportionality analysis was performed using reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and multi-item gamma Poisson shrinker (MGPS) algorithms. …"

Table2_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).XLSX حسب Huafei Tang (19710232)

"…</p>Methods<p>By extracting all available data since the FDA approval of ESL (2013Q4-2024Q1), disproportionality analysis was performed using reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and multi-item gamma Poisson shrinker (MGPS) algorithms. …"

Polyanion sodium cathode materials dataset حسب Martin Hoffmann Petersen (13626778)

"…An example of how to extract data and plot the physical properties is provided in https://github.com/dtu-energy/cathode-generation-workflow/tree/main/extract_data/read_data.py and https://github.com/dtu-energy/cathode-generation-workflow/tree/main/extract_data/utils.py contains two functions, one used to attached Bader charges to an ASE atom object an another to combine multiple XYZ data files.…"

Table 1_Development of an alkaliptosis-related lncRNA risk model and immunotherapy target analysis in lung adenocarcinoma.docx حسب Xiang Xiong (1810234)

"…</p>Methods<p>The TCGA database was utilized to obtain RNA-seq-based transcriptome profiling data, clinical information, and mutation data. We conducted multivariate Cox regression analysis to identify alkaliptosis-related lncRNAs. …"

Methodology block diagram. حسب Gahao Chen (21688843)

"…Current machine learning (ML) models demonstrate suboptimal predictive performance in KD treatment response prediction, primarily due to their limited ability to effectively process categorical variables and interpret tabular clinical data. …"

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 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. …"

Image 2_An in silico evaluation of lorlatinib as a potential therapy for novel amino acid substitutions in the tyrosine kinase domain of the ALK protein associated with cancer.png حسب Richard Junior Zapata Dongo (17912565)

"…<p>The anaplastic lymphoma kinase (alk) gene on chromosome 2 encodes a receptor tyrosine kinase protein essential for key signaling pathways regulating cell proliferation and differentiation. …"

Table 2_Multi-omics reveals efferocytosis-related hub genes as biomarkers for ustekinumab response in colitis.csv حسب Jun-meng Wang (9959245)

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

Image 5_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 6_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. …"