Longitudinal trajectories of functional network development across the birth transition. by Lanxin Ji (20290942)

“…<p><b> </b> (A) One-sample <i>t</i> test on RSFC across all subjects. Stronger RSFC within networks affirms validity of the network clustering algorithm. …”

Multiple sequence alignment of <i>Ov</i>-RAL-2 Glutamine-repeat epitope (GRR) showing identical sequence stretches common to some human proteins. by Derrick Neba Nebangwa (19923731)

Visualization of the image segmentation and labeling pipeline for the first frame of an example movie. by Miriam Schnitzerlein (21446136)

Model performance over epochs. by Ayesha Khalid (7843483)

“…These findings underscore the effectiveness of the ESM-2 model in accurately predicting <i>O-</i>GlcNAc sites within human proteins. Accurately predicting <i>O</i>-GlcNAc sites within human proteins can significantly advance glycoproteomic research by enhancing our understanding of protein function and disease mechanisms, aiding in developing targeted therapies, and facilitating biomarker discovery for improved diagnosis and treatment. …”

Evaluation metrics on test data. by Ayesha Khalid (7843483)

“…These findings underscore the effectiveness of the ESM-2 model in accurately predicting <i>O-</i>GlcNAc sites within human proteins. Accurately predicting <i>O</i>-GlcNAc sites within human proteins can significantly advance glycoproteomic research by enhancing our understanding of protein function and disease mechanisms, aiding in developing targeted therapies, and facilitating biomarker discovery for improved diagnosis and treatment. …”

Comparison with baseline clustering techniques. by Sayantan Kumar (20208872)

Table 1_Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms.docx by Yuxuan Li (1674307)

Image 1_Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms.tif by Yuxuan Li (1674307)

Data Sheet 2_Machine learning integrates region-specific microbial signatures to distinguish geographically adjacent populations within a province.xlsx by Li Luo (149019)

“…To obtain the optimal model that can distinguish geographically close populations, three machine learning (ML) algorithms based on microbiota or functions were employed.…”

Data Sheet 1_Machine learning integrates region-specific microbial signatures to distinguish geographically adjacent populations within a province.docx by Li Luo (149019)

“…To obtain the optimal model that can distinguish geographically close populations, three machine learning (ML) algorithms based on microbiota or functions were employed.…”

Decoding results. by Sam Hall-McMaster (10343795)

Behavioral results. by Sam Hall-McMaster (10343795)

Study workflow. by Sayantan Kumar (20208872)

Schematic diagram of the G4Hunter scanning principle. by Rongxin Zhang (1618159)

VEP annotation of the aSNPs listed in S1 Table. by Rongxin Zhang (1618159)

“…<div><p>G-quadruplexes (G4s) are nucleic acid secondary structures with important regulatory functions. Single-nucleotide variants (SNVs), one of the most common forms of genetic variation, can potentially impact the formation of G4 structures if they occur within G4 regions. …”

Raw results. by Mahmood A. Jumaah (22272371)

G4SNVHunter workflow for identifying variants that affect G4 formation. by Rongxin Zhang (1618159)

“…Subsequently, the impact of the variants on the formation potential of the identified G4s will be assessed based on the G4Hunter algorithm (Middle panel). Finally, candidate variants can be filtered and visualized using functions provided by G4SNVHunter to screen out those that can potentially disrupt the formation of G4 structures (Right panel). …”

Riemann Hypothesis Solution: A Structured Hilbert-Polya Operator Realization via Entropy Geometry by Jennifer Bulyaki (22283308)

A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment by Jing Zhan (20716673)

“…There are 153 subfolders within a primary directory named "data," derived from 85 participants. …”

Screening of candidate hub genes, functional enrichment analysis, and construction of the PPI network. by Changqi Du (21696596)