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 ...

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...

Abstract: Surveying and mapping project operation, data analysis is a key link, when faced with complex data storage, different specifications and organization forms of multi-source data, the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this eMag, we try to establish agentic AI ...

Abstract: This study is based on the application of a real-measured data preprocessing method using data augmentation techniques. In response to the scarcity of sample data in the fields of ...

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 ...

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 ...