Researchers from Kyushu University have developed an innovative computational method, called ddHodge, that can reconstruct ...
Understanding how cells decide their fate is a central challenge in biology, complicated by the fact that single-cell RNA ...
Hamza is a gaming enthusiast and a Writing Specialist from Pakistan. A firm believer in Keyboard/Mouse supremacy, he will play Tekken with WASD if you let him. He has been writing about games since ...
Hyperspectral imaging (HSI) captures rich spectral data across hundreds of contiguous bands for diverse applications. Dimension reduction (DR) techniques are commonly used to map the first three ...
This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...
Magnetic resonance imaging (MRI) is among the most commonly used imaging methods in preclinical studies as it non-invasively produces multiparametric data of tissues and organs. An animal organism’s ...
Here, we present Randomized Spatial PCA (RASP), a novel spatially aware dimensionality reduction method for spatial transcriptomics (ST) data. RASP is designed to be orders-of-magnitude faster than ...
Abstract: Surface electromyographic signals (sEMG) usually have high-dimensional properties, and direct processing of these data consumes significant computational resources. Dimensionality reduction ...
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