Neurodevelopmental enrichment of H3K27me1 within gene bodies. by Aditya Parmar (22331873)

“…<b>(D)</b> Metagene heatmaps depicting H3K27me1 CUT&RUN data across protein-coding genes in the early versus late cerebellum. …”

Data Sheet 1_Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destinat... by Mikko Strahlendorff (20458865)

“…The Copernicus Global Land Monitoring Service’s Soil Water Index (SWI) satellite-based observations from 2015 to 2023 at 10,000 locations in Europe were used as the predictand (target parameter) to train an artificial intelligence (AI) model to predict soil wetness with XGBoost (eXtreme Gradient Boosting) and LightGBM (Light Gradient Boosting Machine) implementations of gradient boosting algorithms. The locations were selected as a representative set of points from the Land Use/Cover Area Frame Survey (LUCAS) sites, which helped evaluate the characteristics of distinct locations used in fitting to represent diverse landscapes across Europe. …”

MCCN Case Study 2 - Spatial projection via modelled data by Donald Hobern (21435904)

“…</p><p dir="ltr">The dataset contains input files for the case study (source_data), RO-Crate metadata (ro-crate-metadata.json), results from the case study (results), and Jupyter Notebook (MCCN-CASE 2.ipynb)</p><h4><b>Research Activity Identifier (RAiD)</b></h4><p dir="ltr">RAiD: https://doi.org/10.26292/8679d473</p><h4><b>Case Studies</b></h4><p dir="ltr">This repository contains code and sample data for the following case studies. …”

Supplementary file 1_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.pdf by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 11_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 10_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 12_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 14_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 9_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 13_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 5_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 2_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 3_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 8_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 6_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 7_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 4_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Table 1_Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.xlsx by Yan Wu (70890)

“…A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. …”

Data Sheet 1_Diagnostic lncRNA biomarkers and immune-related ceRNA networks for osteonecrosis of the femoral head in metabolic syndrome identified by plasma RNA sequencing and mach... by Haoyan Sun (22172911)

“…This study aimed to identify key diagnostic long non-coding RNAs (lncRNAs) in ONFH patients with MetS and to construct an immune-related competitive endogenous RNA (ceRNA) network. …”