A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Text-to-video models (Runway, Sora, Veo 3, Pika, Luma) are trained on large datasets of video–text pairs, and data quality directly determines generation quality ("garbage in, garbage out").

Your browser does not support the audio element. Note that image data augmentation layers are only active during training (similarly to the Dropout layer). from ...

Could you please clarify the exact numeric preprocessing steps applied to the tutorial public datasets (e.g., Jurkat, K562, RPE1, HEK293T/HEPG2), beyond the cell/target filtering described? For the ...

Abstract: The rapid evolution of artificial intelligence (AI) has paved the way for substantial improvements in data science workflows, particularly in data preprocessing and feature selection. These ...

The Cancer Genome Atlas (TCGA) provides comprehensive genomic data across various cancer types. However, complex file naming conventions and the necessity of linking disparate data types to individual ...

ABSTRACT: This paper focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...

Data transformation and discretization are critical steps in the data preprocessing pipeline. They prepare raw data for analysis by converting it into forms suitable for mining, improving the ...

The world as we know it has been transformed by AI, but perhaps no field has been more profoundly affected than analytics and data science. While traditional data science practices have paved the way ...