Table 2_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx حسب Zixiang Li (7014416)

"…Post-translational modifications (PTMs) regulate immune signaling and tumor behavior, yet PTM-informed biomarkers for ccRCC remain underexplored.</p>Methods<p>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. …"

Different Brands of Strong-Flavor Baijiu Identified Using Gas Chromatography-Mass Spectrometry and Near-Infrared Spectroscopy حسب Jian-Gang Yang (21012431)

"…<p>Chinese strong-flavor baijiu brands are categorized into Sichuan, Jianghuai, and Beifang styles based on their regional origins. However, no systematic method exists to identify the different styles. …"

Data Sheet 1_Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease.csv حسب Mingming Wang (394106)

"…Current precision medicine approaches lack robust molecular tools integrating transcriptomic signatures with immune dynamics for personalized treatment guidance.</p>Methods<p>We performed multi-omics analyses of GEO datasets using machine learning algorithms (LASSO/Random Forest) to derive a four-gene signature. …"

Image 1_Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease.jpeg حسب Mingming Wang (394106)

"…Current precision medicine approaches lack robust molecular tools integrating transcriptomic signatures with immune dynamics for personalized treatment guidance.</p>Methods<p>We performed multi-omics analyses of GEO datasets using machine learning algorithms (LASSO/Random Forest) to derive a four-gene signature. …"

Table 1_Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning.docx حسب Mohammad Hossein Sarkhosh (20822072)

"…Afterward, we design a CNN-based U-net architecture to predict TAWSS by the point cloud of the geometries. …"

Dataset - Biopharmaceutical manufacturing حسب Zhihan Zhang (22021304)

"…This data is highly suitable for the development of big data analytics, machine learning (ML) or artificial intelligence (AI) algorithms applicable to the biopharmaceutical industry. …"

Table 1_CEACAM6 as a machine learning derived immune biomarker for predicting neoadjuvant chemotherapy response in HR+/HER2− breast cancer.xlsx حسب Dalang Fang (22130155)

"…Overlapping DEGs were further screened using LASSO, random forest, and SVM-RFE algorithms. Predictive models were constructed with 10 machine learning algorithms and interpreted using SHAP. …"

Table 1_Trajectories of health conditions predict cardiovascular disease risk among middle-aged and older adults: a national cohort study.docx حسب Wenlong Li (571749)

"…Ten machine learning (ML) algorithms were applied to evaluate the predictive capacity of different variable groups for CVD. …"

Data Sheet 2_A multi-omic analysis reveals a predictive value of tertiary lymphoid structures in improving the prognosis of colorectal cancer patients with BRAF mutation.zip حسب Chao Qin (119135)

"…Immune infiltration was assessed using the ESTIMATE and CIBERSORT algorithms. Histopathological evaluation of TLS was conducted in tissue sections from 200 CRC patients. …"

Table 2_Identification of regulatory cell death-related genes during MASH progression using bioinformatics analysis and machine learning strategies.xlsx حسب Zhiqiang Lin (747094)

"…A total of 101 combinations of 10 machine learning algorithms were employed to screen for characteristic RCD-related differentially expressed genes (DEGs) that reflect the progression of MASH. …"

Data Sheet 1_A multi-omic analysis reveals a predictive value of tertiary lymphoid structures in improving the prognosis of colorectal cancer patients with BRAF mutation.docx حسب Chao Qin (119135)

"…Immune infiltration was assessed using the ESTIMATE and CIBERSORT algorithms. Histopathological evaluation of TLS was conducted in tissue sections from 200 CRC patients. …"

Table 1_Identification of regulatory cell death-related genes during MASH progression using bioinformatics analysis and machine learning strategies.xlsx حسب Zhiqiang Lin (747094)

"…A total of 101 combinations of 10 machine learning algorithms were employed to screen for characteristic RCD-related differentially expressed genes (DEGs) that reflect the progression of MASH. …"

Data Sheet 1_Resveratrol contributes to NK cell-mediated breast cancer cytotoxicity by upregulating ULBP2 through miR-17-5p downmodulation and activation of MINK1/JNK/c-Jun signali... حسب Bisha Ding (5803799)

"…The target gene of miR-17-5p were predicted with different algorithms from five databases and further confirmed with dual-luciferase reporter assay. …"

Data Sheet 1_Bi-modal contrastive learning for crop classification using Sentinel-2 and Planetscope.pdf حسب Ankit Patnala (20386422)

"…First, we adopt the uni-modal contrastive method (SCARF) and, second, we use a bi-modal approach based on Sentinel-2 and Planetscope data instead of standard transformations developed for natural images to accommodate the spectral characteristics of crop pixels. …"

Trend Comparisons — Raw (blue), Predicted (purple), Corrected (red) حسب Arthur Daw (21543890)

"…</p><p dir="ltr">The method integrates raw weight trends, model-based EB predictions, and correction algorithms to support long-term personalisation of health interventions.…"

Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences حسب T.J. Thomson (9015119)

"…These biases exist because of human biases embedded in training data and/or the conscious or unconscious biases of those who develop AI algorithms and models. …"

Image 2_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 1_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 3_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 4_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. …"