Image 2_Development and application of machine learning models for hematological disease diagnosis using routine laboratory parameters: a user-friendly diagnostic platform.jpeg حسب Jingya Liu (13338460)

"…By optimally combining multiple feature selection methods and machine learning algorithms, we developed 7 machine learning models with varying feature set sizes. …"

Data Sheet 2_Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy.pdf حسب Yi Zhang (9093)

"…Developing a multi-omics-based classification system for LUAD is urgently needed to advance biological understanding.…"

Table 1_Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study.docx حسب Xinxin Qin (14280806)

"…We applied six machine learning algorithms to construct a model that can predict distant metastasis of gastric cancer. …"

Data Sheet 1_Development and application of machine learning models for hematological disease diagnosis using routine laboratory parameters: a user-friendly diagnostic platform.doc... حسب Jingya Liu (13338460)

"…By optimally combining multiple feature selection methods and machine learning algorithms, we developed 7 machine learning models with varying feature set sizes. …"

Table 3_Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study.docx حسب Xinxin Qin (14280806)

"…We applied six machine learning algorithms to construct a model that can predict distant metastasis of gastric cancer. …"

Data Sheet 1_Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy.pdf حسب Yi Zhang (9093)

"…Developing a multi-omics-based classification system for LUAD is urgently needed to advance biological understanding.…"

Table 1_Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy.xlsx حسب Yi Zhang (9093)

"…Developing a multi-omics-based classification system for LUAD is urgently needed to advance biological understanding.…"

Image 1_Development and application of machine learning models for hematological disease diagnosis using routine laboratory parameters: a user-friendly diagnostic platform.jpeg حسب Jingya Liu (13338460)

"…By optimally combining multiple feature selection methods and machine learning algorithms, we developed 7 machine learning models with varying feature set sizes. …"

Image 1_Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning.tif حسب Chenbo Yang (10004575)

"…In conclusion, based on the winter wheat ChD data set and the corresponding canopy hyperspectral data set, combined with 3 FOD calculation methods, 1 band screening method, and 8 modeling algorithms, this study constructed hyperspectral monitoring models for winter wheat ChD. …"

Supplementary file 1_Comprehensive analysis of phagocytosis regulatory genes in bladder cancer: implications for prognosis and immunotherapy.xlsx حسب Xueming Ma (2119150)

"…</p>Methods<p>Multi-omics data from the TCGA and GEO databases were integrated, and strict data preprocessing was carried out. …"

Image1_DeepO-GlcNAc: a web server for prediction of protein O-GlcNAcylation sites using deep learning combined with attention mechanism.pdf 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.…"

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. …"

Context tree classification and clustering حسب Adriano Zanin Zambom (20448557)

"…<p>In this manuscript, we develop clustering and classification algorithms for Context trees arising from Variable Length Markov Chains (VLMC). …"

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. …"