Example display of the only tab, <i>Text-mining</i>, in the <i>Examine</i> section of the application for extraction and display of information from free-text wildlife necropsy dat... by Stefan Saverimuttu (20882325)

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)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

Subjects:

Data Sheet 1_Modelling the spatial bound of an eDNA signal in the marine environment – the effect of local conditions.pdf by Tiago A. M. Silva (22188730)

Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf by Gabriella Yakemow (20137758)

“…The objective of this study was to identify structural and functional neural changes in patients with PTSD that may contribute to the future development of AD.…”

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. …”

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

Osseointegration of an innovative functionally gradient biomimetic scaffold based on Voronoi-Tessellation for the design of orthopaedic implants by Yuzhu Wang (845659)

Spatial characterization of cancer-associated cell types in human breast cancer malignancies. by Nuray Sogunmez Erdogan (21533872)

Precise spatial delineation of brain cell types in adult mouse brain. by Nuray Sogunmez Erdogan (21533872)

Deconvolution challenges due to coherence and heterogeneity. by Nuray Sogunmez Erdogan (21533872)

Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry by Wei Liu (20030)

“…T cell exhaustion, characterized by the upregulation of inhibitory receptors and loss of effector functions, plays a crucial role in tumor immune evasion. …”

Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry by Wei Liu (20030)

“…T cell exhaustion, characterized by the upregulation of inhibitory receptors and loss of effector functions, plays a crucial role in tumor immune evasion. …”

Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry by Wei Liu (20030)

“…T cell exhaustion, characterized by the upregulation of inhibitory receptors and loss of effector functions, plays a crucial role in tumor immune evasion. …”

Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry by Wei Liu (20030)

“…T cell exhaustion, characterized by the upregulation of inhibitory receptors and loss of effector functions, plays a crucial role in tumor immune evasion. …”

Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry by Wei Liu (20030)

“…T cell exhaustion, characterized by the upregulation of inhibitory receptors and loss of effector functions, plays a crucial role in tumor immune evasion. …”

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

“…<p dir="ltr">This dataset comprises 153 subfolders within a primary directory named <i>data</i>, derived from 85 participants. …”

Supporting data for “The role of forest composition heterogeneity on temperate ecosystem carbon dynamic under climate change" by Ziyu Lin (9151064)

“…The process includes (1) harmonizing Landsat 5, 7, 8, and Sentinel-2 data using the HLS algorithm, and (2) filling temporal gaps with an optimized object-based STARFM fusion algorithm. …”