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Filling the gap between biology and computer science

Jesús S Aguilar-Ruiz, Jason H Moore, Marylyn D Ritchie
2008 BioData Mining  
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful knowledge from heterogeneous  ...  Aim and scope BioData Mining [1] is an open-access, open peer-reviewed, online journal that publishes articles on the development of data mining techniques applied to biological data.  ...  In this sense, BioData Mining aims at publishing articles that not only adapt, evaluate or apply traditional data mining techniques, but also that develop, evaluate or apply novel methods from data mining  ... 
doi:10.1186/1756-0381-1-1 pmid:18822148 pmcid:PMC2547862 fatcat:xohirihnojcwbiwt7emrcwi3qy

Next generation informatics for big data in precision medicine era

Yuji Zhang, Qian Zhu, Hongfang Liu
2015 BioData Mining  
This thematic issue of BioData Mining presents a series of selected papers from these two international workshops, aiming to address the data mining needs in the informatics field due to the deluge of  ...  We are grateful for the BioData Mining's willingness to produce this forward-looking thematic issue.  ...  Marylyn Ritche from Biodata Mining. Author details 1 Division of Biostatistics and Bioinformatics, University of Maryland Greenebaum Cancer Center, Baltimore, USA.  ... 
doi:10.1186/s13040-015-0064-2 pmid:26539249 pmcid:PMC4632361 fatcat:qztghgge5vajfoxtpgo2xbpina

GELA: A Software Tool for the Analysis of Gene Expression Data

Emanuel Weitschek, Giulia Fiscon, Giovanni Felici, Paola Bertolazzi
2015 2015 26th International Workshop on Database and Expert Systems Applications (DEXA)  
For example, the Human Genome Project provided the sequence of the 3 billion DNA bases that constitute the human genome.  ...  Knowledge Discovery and Data Mining (KDD) are a response to these new trends. Topics of BIOKDD workshop include, but not limited to:  ...  The winner paper of the Best Paper Award in BIOKDD-DEXA'15 workshop will be published for free by BioData Mining <>.  ... 
doi:10.1109/dexa.2015.26 dblp:conf/dexaw/WeitschekFFB15 fatcat:qx2mvymjgbaqdowyeioxfdvlti


Ahmad Faisal, Basri Basri, Cipta Riang Sari
2020 Journal Peqguruang : Conference Series  
Penelitian ini bertujuan merancang sebuah sistem informasi klasifikasi hasil belajar pesera didik pada SDN Inpres 046 Sidorejo menggunakan teknik data mining metode K-Nearest Neighbor (K-NN).  ...  Dengan Menggunakan Sistem Informasi Pengklasifikasian Hasil Belajar Peserta Didik Dengan Teknik Data Mining Metode K - Nearest Neighbor (K-NN), maka akan didapatkan hasil belajar pesera didik.  ...  Gambar 3.  ... 
doi:10.35329/jp.v2i1.1386 fatcat:ibzfkuo7erefbolcjmiinq2nya

Development of a Database Course for Bioinformatics

Zhengxin Chena
2012 Procedia Computer Science  
in general and data mining methods applicable for bioinformatics, namely, the need for mining methods potential adaptable to noisy biodata: Not all the frequent pattern analysis methods can be readily  ...  and applications in bioinformatics • Basics of biodata integration and data warehousing • Basics of pattern/gene/protein discovery • Basics of machine learning/data mining applications in bioinformatics  ... 
doi:10.1016/j.procs.2012.04.057 fatcat:u5jm6bs7xbfvnhneugr7tbvhym

Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example

Jaume Bacardit, Paweł Widera, Nicola Lazzarini, Natalio Krasnogor
2014 Big Data  
Finally, we describe several strategies to tightly integrate knowledge extraction and data mining in order to create a new class of biodata mining algorithms that can natively embrace the complexity of  ...  knowledge discovery procedures for biodata.  ...  Finally, we describe in the section Towards Knowledge Intensive Biodata Mining, our vision of the next generation of knowledge-intensive biodata mining methods, where knowledge discovery not only is one  ... 
doi:10.1089/big.2014.0023 pmid:25276500 pmcid:PMC4174911 fatcat:kxq4hysm4nb4bnmts55vygieea

Novel Design and Implementation of Graph Mining for Big Data Network Analysis

Dr.D. Shravani
2017 International Journal of Engineering Research and Applications  
Graph Mining strategies can be applied for Big Data Networks Analysis as specified by Literature survey. Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources.  ...  This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations.  ...  SYSTEM ARCHITECTURE DESIGN MODULES DESCRIPTION: Integrating and mining biodata: We have integrated and mined biodata from multiple sources to decipher and utilize the structure of biological networks  ... 
doi:10.9790/9622-0707071625 fatcat:eknm3xln2jfzzkcaohpfob4x3i

Biclustering of Gene Expression Data by Correlation-Based Scatter Search

Juan A Nepomuceno, Alicia Troncoso, Jesús S Aguilar-Ruiz
2011 BioData Mining  
BioData Mining 2011, 4:3 Page 10 of 17 Nepomuceno et al. BioData Mining 2011, 4:3 Page 12 of 17  ...  BioData Mining 2011, 4:3 Page 3 of 17 Nepomuceno et al.  ... 
doi:10.1186/1756-0381-4-3 pmid:21261986 pmcid:PMC3037342 fatcat:zbkg2cxmfvdy3bixmt2awoog44

DAPPER: a data-mining resource for protein-protein interactions

Syed Haider, Zoltan Lipinszki, Marcin R. Przewloka, Yaseen Ladak, Pier Paolo D'Avino, Yuu Kimata, Pietro Lio', David M. Glover
2015 BioData Mining  
We, and others have employed proteomics-based methods to identify novel binding partners of proteins involved in specific cellular BioData Mining  ...  With increasing volumes of such datasets, especially in model organisms such as Drosophila melanogaster, there exists a pressing need for specialised tools, which can seamlessly collect, integrate and  ...  (XLSX 31 kb) Additional file 3: Table S2 . List of unique CGIDs in DAPPER. Uniprot ID is shown where CGID was not available. Fig. 1 1 System-level architecture of DAPPER data-mining framework.  ... 
doi:10.1186/s13040-015-0063-3 pmid:26405458 pmcid:PMC4581157 fatcat:xovfrzrgkvdifjxpwet76ufpsm

Big Data for Cancer Research

William C. Cho
2015 Clinical Medicine Insights: Oncology  
Biodata-mining has led those working in the life sciences to embrace the informatics field, in order to accommodate the deluge of big data generated by next-gene ration biotechnologies, such as next-generation  ...  Life scientists are bringing together tremendous volumes of information from various high-throughput studies.  ... 
doi:10.4137/cmo.s38279 pmid:26740748 pmcid:PMC4697768 fatcat:whge5a2aujhkhdbwkqdzt4eyc4

Distributed retrieval engine for the development of cloud-deployed biological databases

David Bouzaglo, Israel Chasida, Elishai Ezra Tsur
2018 BioData Mining  
It is powered by a distributed biodata retrieval system, able to interface with different data formats, as well as provides an integrated way for data exploration.  ...  One of the most important stepping stones in modern biodata mining is cloud computing, providing scalable virtualized resources and distributed computing, and enabling optimization of cost and computing  ...  (PDF 506 kb) Fig. 3 3 User interface. a Graphical user interface. b-f A running example of a search for 'breast cancer'  ... 
doi:10.1186/s13040-018-0185-5 pmid:30459848 pmcid:PMC6233384 fatcat:2tpocd4hpjfjferj7svefld3qi

Database Framework for Nigerian Prison Service, Adamawa State, Command

Emeje Gideon Daniel, Thomas Labiga Laban, Shallmombol Gabriel Ldutsi
2020 American Journal of Computer Science and Technology  
Nigerian Paramilitaries particularly the Nigerian Prison Service (NPS) Adamawa State command keep volumes of inmate data and information.  ...  Despite the enormously volume of data which is on the increase, the recordkeeping process remains manual; this does not assure proper safe keeping of inmate records.  ...  The prisons' major challenge in developing countries like Nigeria is how to accurately and efficiently analyze the growing volume of prisons inmate data [3] .  ... 
doi:10.11648/j.ajcst.20200303.11 fatcat:7chd54cltfawnhgobpkzmifaka

Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm

Xiuzhen Huang, Steven F Jennings, Barry Bruce, Alison Buchan, Liming Cai, Pengyin Chen, Carole L Cramer, Weihua Guan, Uwe KK Hilgert, Hongmei Jiang, Zenglu Li, Gail McClure (+13 others)
2015 BioData Mining  
BioData Mining (2015) 8:7 DOI 10.1186/s13040-015-0037-5  ...  There are many national and international initiatives and funding programs [2, 3] which focus on big data.  ... 
doi:10.1186/s13040-015-0037-5 pmid:25670967 pmcid:PMC4323225 fatcat:xtrojiy4zrbrzj22kq2fqoey5i

Sistem Perbaikan Kata Tidak Baku Bahasa Indonesia Menggunakan Metode Crowdsourcing

Danny Sebastian, Kristian Adi Nugraha
2020 Jurnal Teknik Informatika dan Sistem Informasi  
We hope this system can help people who working on text-mining based application, especially in Indonesian words, to improve their performance in text-processing.  ...  UCAPAN TERIMA KASIH Gambar 3 . 3 Proses text mining Dikutip dari: Vijayarani, S., Ms J. Ilamathi, and Ms Nithya, 2015, 1.  ...  Jurnal Teknik Informatika dan Sistem Informasi p-ISSN : 2443-2210 Volume 5 Nomor 3 Desember 2019 e-ISSN : 2443-2229  ... 
doi:10.28932/jutisi.v5i3.1983 fatcat:fzme3ft2wvgg3kvthxmskhyn4y

The golden era of biomedical informatics has begun

Jason H. Moore, John H. Holmes
2016 BioData Mining  
informatics has become a central focus for many academic medical centers and universities as biomedical research because increasingly reliant on the processing, analysis, and interpretation of large volumes  ...  This is especially true given the volume and complexity of both research and healthcare data.  ...  We have recently commented in an editorial on the role that visualization and novel technology such as 3D printing can play in biomedical research [3] .  ... 
doi:10.1186/s13040-016-0092-6 pmid:27069509 pmcid:PMC4827231 fatcat:f5sos7hmf5cedigeytc52t7cky
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