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HAL-X: A Novel Clustering Algorithm for Rapid Single-Cell Data Analysis for Drug Discovery
The novel clustering algorithm HAL-x provides insights into single-cell clustering, bridging the biomedicine sciences for healthcare purposes. With its specificity and sensitivity, it allows...
Unraveling Diseases with Data – Machine Learning Helps Identify New Nonlinear Progression Patterns in...
Researchers from the MIT-IBM Watson AI lab have developed a new machine learning-based model that recognizes ALS disease progression. The research will help design future...
Understanding the Population Dynamics for AMR Burden due to Carbapenemase-producing Enterobacteriaceae in Gut Microbiome
Scientists from A*STAR's Genome Institute of Singapore (GIS) discovered that carbapenemase-producing Enterobacteriaceae (CPE) could hide out among gut bacteria in asymptomatic humans. Long-term research...
Researchers Identified Deep Learning Tools as the Top Performers for Predicting Long Non-coding RNA
New RNA transcripts have been discovered as a result of the growing amount of transcriptomic data. Bioinformatic tool developers have had difficulty separating long...
In a Benchmark Study, Scientists Investigated the Integration of Temporal Sequencing Modalities for Trajectory...
Recent advancements in trajectory inferences have unfolded a new side of bioinformatics, i.e., single-cell analysis. The research group from the University of Northern Carolina...