Results 71 to 80 of about 284,247 (326)

SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity. [PDF]

PLoS ONE, 2016
Knowledge of protein function is important for biological, medical and therapeutic studies, but many proteins are still unknown in function. There is a need for more improved functional prediction methods.
Ying Hong Li, Jing Yu Xu, Lin Tao, Xiao Feng Li, Shuang Li, Xian Zeng, Shang Ying Chen, Peng Zhang, Chu Qin, Cheng Zhang, Zhe Chen, Feng Zhu, Yu Zong Chen   +12 more
doaj   +1 more source

METIS: multiple extraction techniques for informative sentences [PDF]

, 2017
Summary: METIS is a web-based integrated annotation tool. From single query sequences, the PRECIS component allows users to generate structured protein family reports from sets of related Swiss-Prot entries.
Attwood, T. K., Divoli, A., Hilario, M., Kim, J.-H, Mitchell, A. L., Selimas, I.   +5 more
core  

Extracting consumers needs for new products a web mining approach [PDF]

, 2010
Here we introduce a web mining approach for automatically identifying new product ideas extracted from web logs. A web log - also known as blog - is a web site that provides commentary, news, and further information on a subject written by individual ...
Prinzie, Anita, Thorleuchter, Dirk, Van den Poel, Dirk   +2 more
core   +2 more sources

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

Arthritis Care &Research, Accepted Article.
Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source

A Comparative analysis: QA evaluation questions versus real-world queries [PDF]

, 2010
This paper presents a comparative analysis of user queries to a web search engine, questions to a Q&A service (answers.com), and questions employed in question answering (QA) evaluations at TREC and CLEF.
Leveling, Johannes
core  

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Automatic tagging and geotagging in video collections and communities [PDF]

, 2011
Automatically generated tags and geotags hold great promise to improve access to video collections and online communi- ties. We overview three tasks offered in the MediaEval 2010 benchmarking initiative, for each, describing its use scenario ...
Jones, Gareth J.F., Larson, Martha, Serdyukov, Pavel, Soleymani, Mohammad   +3 more
core   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

PSPP: a protein structure prediction pipeline for computing clusters. [PDF]

PLoS ONE, 2009
BACKGROUND:Protein structures are critical for understanding the mechanisms of biological systems and, subsequently, for drug and vaccine design. Unfortunately, protein sequence data exceed structural data by a factor of more than 200 to 1.
Michael S Lee, Rajkumar Bondugula, Valmik Desai, Nela Zavaljevski, In-Chul Yeh, Anders Wallqvist, Jaques Reifman   +6 more
doaj   +1 more source

Using Query Reformulation to Compare Learning Behaviors in Web Search Engines

International Conference on Advanced Learning Technologies, 2019
Web search engines have gained importance as tools capable of connecting informal and self-learning with formal learning by aiding individuals in retrieving relevant information through the formulation and modification of their queries.
Marcelo Tibau, S. Siqueira, B. Nunes, Terhi Nurmikko-Fuller, R. Manrique   +4 more
semanticscholar   +1 more source