Results 101 to 110 of about 157,658 (286)

Text mining biomedical literature for constructing gene regulatory networks [PDF]

Interdisciplinary Sciences: Computational Life Sciences, 2009
In this paper, we present the framework of a Gene Regulatory Networks System: GRNS. The goals of GRNS include automatically mining biomedical literature to extract gene regulatory information (strain number, genotype, gene regulatory relation, and phenotype), automatically constructing gene regulatory networks based on extracted information and ...
Yong-Ling, Song, Su-Shing, Chen
openaire   +2 more sources

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

PepBank - A Database of Peptides Based on Sequence Text Mining and Public Peptide Data Sources [PDF]

, 2011
Background: Peptides are important molecules with diverse biological functions and biomedical uses. To date, there does not exist a single, searchable archive for peptide sequences or associated biological data. Rather, peptide sequences still have to be
Guettler, Daniel, Kossodo, Misha, Pivovarov, Misha, Shtatland, Timur, Weissleder, Ralph   +4 more
core   +3 more sources

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

GPDminer: a tool for extracting named entities and analyzing relations in biological literature

BMC Bioinformatics
Purpose The expansion of research across various disciplines has led to a substantial increase in published papers and journals, highlighting the necessity for reliable text mining platforms for database construction and knowledge acquisition.
Yeon-Ji Park, Geun-Je Yang, Chae-Bong Sohn, Soo Jun Park   +3 more
doaj   +1 more source

Biomedical Text Mining for Disease Gene Discovery

EMBnet.journal, 2012
Motivation and Objectives Because of the amount of electronic literature now available, it is challenging for biologists to search biomedical corpuses for any kind of desired information beyond simple text retrieval. Several tools have been developed to make text mining easier for them. Some of these tools focus on extracting biomedical terms; such as
Sarah ElShal, Jesse Davis, Yves Moreau
openaire   +2 more sources

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Europe PMC annotated full-text corpus for gene/proteins, diseases and organisms

Scientific Data, 2023
Named entity recognition (NER) is a widely used text-mining and natural language processing (NLP) subtask. In recent years, deep learning methods have superseded traditional dictionary- and rule-based NER approaches.
Xiao Yang, Shyamasree Saha, Aravind Venkatesan, Santosh Tirunagari, Vid Vartak, Johanna McEntyre   +5 more
doaj   +1 more source

SimText: a text mining framework for interactive analysis and visualization of similarities among biomedical entities

bioRxiv, 2020
Literature exploration in PubMed on a large number of biomedical entities (e.g., genes, diseases, experiments) can be time consuming and challenging comparing many entities to one other.
Marie Gramm, Eduardo Pérez-Palma, Sarah Schumacher-Bass, J. Dalton, C. Leu, Daniel Blankenberg, Dennis Lal   +6 more
semanticscholar   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source