Spatial characterization and cell-type-specific genes in mouse brain tissue. by Huamei Li (8815955)

Cell2Spatial enables versatile applications across various analytical domains. by Huamei Li (8815955)

Performance assessment of Cell2Spatial on real and simulated mouse brain spatial transcriptomics (ST) data. by Huamei Li (8815955)

Comparative analysis of spatial architectures and cellular proportions in Lung, Breast, and Intestinal tissues recovered by different mapping tools. by Huamei Li (8815955)

Investigating the spatial architecture of the mouse kidney. by Huamei Li (8815955)

Spatial transcriptomics (ST) and single-cell atlases of multiple human tissues. by Huamei Li (8815955)

Performance assessment of Cell2Spatial in real ST data from various tissue types. by Huamei Li (8815955)

Evaluation of spatial transcriptomics (ST) tools across various metrics and conditions. by Huamei Li (8815955)

The relevant code used in this study. by Jiaxin Jiang (10656134)

Code by Baoqiang Chen (21099509)

Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... by Quang Dung Dinh (20995766)

Consensus network inferred on the healthy individuals (n = 102 samples, p = 151 species) from the liver cirrhosis dataset, followed by CORE-clustering algorithm to identify the mic... by Camille Champion (15238934)

Code snippet from “Netty/Buffer” Maven artefact. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”

Model code by Waltraud Schulze (20695250)

“…The latter provides insights into the inherent texture complexity of the image data due to the lossless coding. For classification of leaf surfaces from tree species based on the computed features, we utilized the k-nearest neighbors (kNN) algorithm with k=3. …”

data and code by PENGCHENG LIU (20680641)

Greedy optimization algorithm. by Alexis Bénichou (19832361)

“…The horizontal orange dashed line indicates the codelength of the corresponding simple graph model without motifs (see Motif-free reference codes). (D) The algorithm is run a hundred times for each dyadic base model and the most compressing model is selected. …”

Code snippet from “Apache Dubbo” GitHub project. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”

Imaging platform. by Jiajun Liu (692586)

“…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …”

KAN-GLNet network model. by Jiajun Liu (692586)

“…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …”

Reconstructed canola point cloud samples. by Jiajun Liu (692586)

“…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …”