IEEE

Minimum Information Trees for High Dimensional Data Visualization in Clustering

Abstract: Visualizing the qualitative outcomes of clustering algorithms in high-dimensional spaces remains a persistent challenge in data analysis and machine learning. Traditional dimensionality ...
GitHub

Fine-tuning sequence-to-expression models on personal genome and transcriptome data

The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and ...
GitHub

A B+ tree implementation in C

Bptree is a lightweight single-header B+ tree implementation written in C. It can be thought of as an in-memory ordered map where keys are stored based on the ordering defined by some comparator ...
Business Insider

GRI Bio Delivers Compelling New Phase 2a Gene Expression Data Demonstrating Improvements in Key Drivers of Fibrosis and Lung Repair in IPF

Multiple Independent Molecular Signals Converge to Validate GRI-0621 as a Potential Disease-Modifying Therapy LA JOLLA, CA, Jan. 28, 2026 (GLOBE NEWSWIRE) -- GRI Bio, Inc. (NASDAQ: GRI) (“GRI Bio” or ...
IEEE

GCSTG: Generating Class-Confusion-Aware Samples With a Tree-Structure Graph for Few-Shot Object Detection

Abstract: Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class ...
Phys.org

AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...