Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

Two-dimensional visualization of cell clustering in the Pollen dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the Petropoulos dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the Guo2 dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the iPSC dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the CellType dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. by Hiroyuki Ichijo (13891153)

Illustration of the wAL GHAC algorithm on a small network. by Petr Prokop (19959315)

Assessment of multiple parameters for Cell2Spatial performance and assignment strategy. by Huamei Li (8815955)

Iterative Registration and Clustering (IREC) Algorithm: The input image stack (<i>S</i>) is first aligned and grouped using registration and clustering (REC) based on an initial re... by Creighton M. Lisowski (22756444)

IREC applied to UP–40–4. by Creighton M. Lisowski (22756444)

Top: Hierarchical deep spectral clustering results for AP–20–4. by Creighton M. Lisowski (22756444)

Top: Hierarchical deep spectral clustering results for AC–20–4. by Creighton M. Lisowski (22756444)

IREC applied to combined UP-20-4 and UC-20-4. by Creighton M. Lisowski (22756444)

IREC applied to UC–20–4. by Creighton M. Lisowski (22756444)

HMM to infer selection. by Adam G. Fine (21763286)

Trypsin Digestion Conditions of Human Plasma for Observation of Peptides and Proteins from Tandem Mass Spectrometry by Zhuo Zhen Chen (10841817)

Subjects:

Examples of cases in which the model failed to classify the parasites correctly, leading to misclassification and a drop in performance. by Hamid Cheraghi (22057476)

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home by Ying Zhang (40767)

“…However, the labor-intensive sample preparation and nucleic acid amplification steps, along with the complexity and bulkiness of detection equipment, have limited the large-scale application of molecular testing at home. …”

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home by Ying Zhang (40767)

“…However, the labor-intensive sample preparation and nucleic acid amplification steps, along with the complexity and bulkiness of detection equipment, have limited the large-scale application of molecular testing at home. …”