Targeted Oncology

Systemic Therapy Selection and Guideline Based Sequencing in Progressive Small Bowel Neuroendocrine Tumor

NCCN updates recommend cabozantinib for neuroendocrine tumors, offering flexibility in treatment options based on patient needs and prior therapies. This segment focuses on systemic treatment ...
PNAS

Longitudinal sequencing reveals polygenic and epistatic nature of genomic response to selection

Contributed by Andrew G. Clark; received June 15, 2024; accepted March 25, 2025; reviewed by Corbin D. Jones and Jason B. Wolf How adaptations are built genetically depends on if and how genes ...
EurekAlert!

Machine learning algorithm brings long-read sequencing to the clinic

Researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI) have developed a new machine learning method called SAVANA that significantly reduces sequencing errors for cancer genomes. Long-read ...
IEEE

Implementation of Longest Common Subsequence Algorithm Using Thread Parallelization in Java

Abstract: This sequence alignment stands as a pivotal method in the realm of bioinformatics, meticulously employed to ascertain the degree of similarity between diverse sequences such as DNA, RNA, and ...
C&EN

Metal-Ion Optical Fingerprinting Sensor Selection via an Analyte Classification and Feature Selection Algorithm

Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv 6997801, Israel Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, ...
C&EN

Efficient Model Predictive Control Implementation via Machine Learning: An Algorithm Selection and Configuration Approach

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Frontiers

A study of government regulation’s strategy for solving the algorithmic black-box puzzle of digital platforms: a complex network-based perspective

With the iteration of information technology and the enhancement of the arithmetic power of huge amounts of data, the economic model of digital platforms driven by data has become an important carrier ...
www.cs.cmu.edu

Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data

Background: Supervised learning from high-throughput sequencing data presents many challenges. For one, the curse of dimensionality often leads to overfitting as well as issues with scalability. This ...
GitHub

A benchmark for Java gadget chain detecting algorithms.

If you are thinking this image is AI-generated: it is. Gleipner is provided as a collection of JAR files, each probing different challenges in gadget chain detection (see Specification). For existing ...