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 ...
University of Massachusetts Lowell

Researchers Use Veterans’ Health Records for Early Detection of Alzheimer’s Disease

Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official ...
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 ...
Frontiers

Correction: Identification and analysis of diverse cell death patterns in osteomyelitis via microarray-based transcriptome profiling and clinical data

An incorrect Funding statement was provided. The correct Funding statement reads: “The author(s) declare that financial support was received for the research and/or publication of this article. This ...
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 ...