Table 13_Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental valida... by 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. …”

<b>Responsible Artificial Intelligence (RAI) Measures Dataset</b> by Shalaleh Rismani (21704225)

“…</p><ol><li>Application Area</li><li>Purpose of ML System</li><li>Type of Data</li><li>Algorithm Type</li></ol><p dir="ltr"><b>Publication Metadata (Columns N - P in Yellow)</b>: Details further documentation into each source that was extracted to collect each feature and measure.…”

Genomic determinants in pathogenicity of SARS-CoV-2 versa common cold coronaviruses by Zahra Arab-Bafrani (20309630)

“…These remarkable oligonucleotides might point toward the existence of some particular RNA elements that might be involved in viral virulence and thus can be targeted for viral treatment in the future.…”

Table 1_A novel, rapid, and practical prognostic model for sepsis patients based on dysregulated immune cell lactylation.xlsx by Chang Li (133800)

“…Patients were stratified into subgroups using k-means clustering based on lactylation levels. Machine learning algorithms, integrated with pseudotime trajectory reconstruction, were employed to map the temporal dynamics of lactylation. …”

Table 3_A novel, rapid, and practical prognostic model for sepsis patients based on dysregulated immune cell lactylation.docx by Chang Li (133800)

“…Patients were stratified into subgroups using k-means clustering based on lactylation levels. Machine learning algorithms, integrated with pseudotime trajectory reconstruction, were employed to map the temporal dynamics of lactylation. …”

Housekeeping and unexpressed genes. by Zhiwei Guo (335819)

“…We performed whole-genome sequencing on cfDNA, focusing on promoter profiling (read depth of promoter regions spanning from −1 to +1 kb around transcriptional start sites). Using four machine learning models and two feature selection algorithms, we developed classifiers for predicting preterm birth. …”

Table 4_A novel, rapid, and practical prognostic model for sepsis patients based on dysregulated immune cell lactylation.xlsx by Chang Li (133800)

“…Patients were stratified into subgroups using k-means clustering based on lactylation levels. Machine learning algorithms, integrated with pseudotime trajectory reconstruction, were employed to map the temporal dynamics of lactylation. …”

Table 2_A novel, rapid, and practical prognostic model for sepsis patients based on dysregulated immune cell lactylation.docx by Chang Li (133800)

“…Patients were stratified into subgroups using k-means clustering based on lactylation levels. Machine learning algorithms, integrated with pseudotime trajectory reconstruction, were employed to map the temporal dynamics of lactylation. …”

The overall framework of this study. by Tianbao Feng (21722233)

“…Additionally, a protein-protein interaction (PPI) network was established to identify hub genes, and 8 machine learning algorithms were used to narrowed down hub genes. …”

PANoptosis related genes. by Tianbao Feng (21722233)

“…Additionally, a protein-protein interaction (PPI) network was established to identify hub genes, and 8 machine learning algorithms were used to narrowed down hub genes. …”

Vaccines, Public Health, and the Politics of Immunity: Safety, Debate, and Global Perspectives by Minehli Arakelians Gheshlagh (21983870)

“…It addresses both the potential for rapid response to emerging pathogens and the challenges of equitable implementation, data privacy, and ethical governance.</li><li><b>Case Studies:</b><br>Measles, COVID-19, and emerging viruses are analyzed comparatively, integrating epidemiological data, vaccine rollout strategies, public behavior, and policy interventions. …”

JDS_Supplementary_Tables_Touil_et_al._Reticuloruminal_pH_and_Subacute_Ruminal_Acidosis_prediction.pdf by Tesnime Touil (19066216)

“…Additionally, different ML algorithms, including partial least squares (PLS), random forest (RF), and gradient boosting (GB), were used to predict rpH and SARA. …”

Primer sequences of <i>Bm</i>x and β-actin. by Tianbao Feng (21722233)

“…Additionally, a protein-protein interaction (PPI) network was established to identify hub genes, and 8 machine learning algorithms were used to narrowed down hub genes. …”

<i>HTR2A</i> DNA methylation as a diagnostic biomarker for rheumatoid arthritis: a validation study using targeted sequencing by Jianan Zhao (9516635)

“…</p> <p>MethylTarget^TM targeted region methylation sequencing technology was employed to analyze the DNA methylation levels of HTR2A cg15692052 in RA, health control, ankylosing spondylitis, psoriatic arthritis, gout, systemic lupus erythematosus, dermatomyositis, and primary Sjögren’s syndrome patients within the region of chr13:46898190~chr13:46897976. Machine learning algorithms were used to analyze data.</p> <p>Compared to the HC group, RA patients and four serological subtypes of RA (RF-negative RA, RF/CCP double-positive, RF/CCP double-negative, and CCP-negative RA) exhibited significantly higher levels of <i>HTR2A</i> cg15692052 methylation (<i>p</i> < 0.05). …”

VIIDA and InViDe: computational approaches for generating and evaluating inclusive image paragraphs for the visually impaired by Daniel L. Fernandes (20416673)

“…<p>Existing image description methods when used as Assistive Technologies often fall short in meeting the needs of blind or low vision (BLV) individuals. …”

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

“…<p dir="ltr">We have created a polyanion sodium cathode materials dataset that includes optimizations of structures to the lowest energy, ab initio molecular dynamics simulations trajectories sampled at 1000K, and structures generated from ML-driven molecular dynamics simulation at 1000K using active learning algorithms. The dataset consists of structures sampled from four sodium ion polyanionic cathode materials NaTMPO₄(olivine) ,NaTMPO₄(maricite), Na₂TMSiO₄ and Na_2.56TM_1.72(SO₄)₃ , along with various structures incorporating doping of transition metal ions (TM). …”

16S rRNA sequencing raw data from a thermophilic trickle bed reactor for biogas upgrading by Getachew Birhanu Abera (20402390)

“…The DNA extraction followed by method adapted from Jensen et al. (2023), utilizing the DNeasy 96 PowerSoil Pro QIAcube HT Kit. …”

From GIS to HBIM and Back: Multiscale Performance and Condition Assessment for Networks of Public Heritage Buildings and Construction Components by Teresa Fortunato (21076099)

“…GIS-based inventory approach of networked construction materials, components, and performances is established by unified performance descriptors and diagnostic tests. GIS-BIM data exchange routines by programming codes and algorithms are developed in Python. …”

<b>dGenhancer v2</b>: A software tool for designing oligonucleotides that can trigger gene-specific Enhancement of Protein Translation. by Adam Master (20316450)

“…<br> An excel-based calculator - dGenhancer can be used to search for putative 5’UTR cis-acting elements, which functional activity could be determined by Gibbs energy-dependent secondary structure formation. …”

Table 1_Development of an alkaliptosis-related lncRNA risk model and immunotherapy target analysis in lung adenocarcinoma.docx by 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. …”