Detection system uses gravitational waves to map merging black holes

An international collaboration of astrophysicists that includes researchers from Yale has created and tested a detection system that uses gravitational waves to map out the locations of merging black ...

AI accelerates access to insect collections

Researchers at the Museum für Naturkunde Berlin, together with data scientists, have developed a new method to largely ...
Brown University

Large-scale AI analysis to explore how centuries of knowledge passed through Jewish communities

Supported by a National Endowment for the Humanities grant, Brown University scholar Michael Satlow will use cutting-edge ...
IEEE

The analysis of Data Annotation Operation Mechanisms in Industrial

Abstract: Industrial data annotation serves as the critical link connecting raw data and Artificial Intelligence models in industrial intelligence. The scientific rigor of annotation directly ...
GEN

Efficiency, Sustainability Drive Thermo Fisher’s New Microarray Data Analysis Solution

There are two key things to know about the new Applied Biosystems™ SwiftArrayStudio™ Microarray Analyzer from Thermo Fisher Scientific, said Ravi Gupta, vice president and general manager of Thermo ...
C&EN

Metabolite Identification Data in Drug Discovery, Part 2: Site-of-Metabolism Annotation, Analysis, and Exploration for Machine Learning

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Medicinal Chemistry, Research ...
ascopubs.org

Annotation-Free Whole-Slide Image Analysis Method to Assess Immune Infiltration in Colorectal Cancer

Tumor-infiltrating lymphocytes (TILs) play a crucial role in host antitumor processes. High level of TILs is associated with better outcomes for patients. We aim to automatically quantify TILs without ...
IEEE

Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection

Abstract: Microarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of ...
Scientific Research Publishing

Wang, L., Chen, G. and Li, H. (2007) Group SCAD Regression Analysis for Microarray Time Course Gene Expression Data. Bioinformatics, 23, 1486-1494.

ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...