Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager 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 ...

Prediabetes increases a person's risk of developing Type 2 diabetes. An estimated 1 in 3 teens and preteens, ages 12 to 17, have prediabetes, according to new data from the Centers for Disease Control ...

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 ...

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 ...

Abstract: Data preprocessing is a crucial phase in the data science and machine learning pipeline, often demanding significant time and expertise. This step is vital for enhancing data quality by ...

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 ...

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 ...