The potential of CENPA as a cell-cycle biomarker for the M/G2 phase in cancers. by Hengrui Liu (2059750)

Data processing for multi-sensor synchronization. by Kathylee Pinnock Branford (18291038)

Particle Image Velocimetry with Uncertainty Quantification (PIV-UQ) method. by Adithan Kandasamy (12275530)

Workflow for identifying ortholog expression, expression models, and key regulators in <i>S. lycopersicum</i> and <i>S. pennellii.</i> by J. Sebastián Contreras-Riquelme (21395362)

Cluster distance and size for AC STORM data. by Lingxia Qiao (19996756)

Co-diagnostic gene screening and machine learning modelling. by Juntu Li (20411498)

Predicted structure of VPS13C PD variants. by Anna K. Waldmann (22250729)

Selection and analysis of characteristic genes for non-obstructive azoospermia (NOA). by Qiang Ling (11415101)

The immune microenvironment association of CENPA in cancers. by Hengrui Liu (2059750)

Construction of PPI network and screening of hub genes. by Lei Wang (6656)

Evaluation of the relationship between KLF4 expression and cancer-associated fibroblast (CAF) infiltration. by Shoukai Yu (5003270)

Analysis of immune system infiltration across the high and low groups in the combined datasets (CIBERSORTx). by Mian Wang (153332)

SHAP values for chromatin-associated proteins profiled in Wang et al. [22] (A) Chromatin-associated proteins and histone marks relevant for this model. by Kashyap Chhatbar (9515350)

SHAP values for SET1A, H3K4me3 and ZC3H4. by Kashyap Chhatbar (9515350)

Feature mapping for vowel-e. by Gaurav Datkhile (22662871)

Feature mapping for vowel-a. by Gaurav Datkhile (22662871)

Feature mapping for vowel-o. by Gaurav Datkhile (22662871)

Confusion Matrix for result analysis. by Gaurav Datkhile (22662871)

System block diagram. by Gaurav Datkhile (22662871)

Overview diagram of the method and contributions of this work. by Gowri Nayar (14234462)

“…This dataset of HA sites is made publicly available. Panel B shows three tasks that can be performed with the set of HA sites. (1) The HA sites can be used to confirm the protein family alignment and validate a protein’s membership within a family based on the similarity of the progression of attention values. (2) The HA sites can define vectors that can be used to determine pairwise similarities between proteins. (3) The HA sites are also predictive of functionally important regions of the protein, as they are spatially close to active sites and residues crucial to the specificity of the protein.…”