Data mining in protein interactomics

被引：9
|
作者：
Chen, JY
Sivachenko, AY
机构：
[1] Indiana Univ, Sch Informat, Bloomington, IN 47405 USA
[2] Purdue Univ, Sch Sci, Dept Comp & Informat Sci, W Lafayette, IN 47907 USA
[3] Ariadne Genomics Inc, Rockville, MD USA
来源：
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 2005年 / 24卷 / 03期
关键词：
D O I：
10.1109/MEMB.2005.1436466
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
[No abstract available]
引用
收藏
页码：95 / 102
页数：8
相关论文
共 50 条
  • [41] Protocols of Protein Interactomics: Molecular Fishing on Optical Chips and Magnetic Nanoparticles
    Ivanov, A. S.
    Ershov, P. V.
    Mezentsev, Yu. V.
    Poverennaya, E. V.
    Lisitsa, A. V.
    Archakov, A. I.
    BIOCHEMISTRY MOSCOW-SUPPLEMENT SERIES B-BIOMEDICAL CHEMISTRY, 2012, 6 (02) : 99 - 106
  • [42] HiSP: A probabilistic data mining technique for protein classification
    Merschmann, Luiz
    Plastino, Alexandre
    COMPUTATIONAL SCIENCE - ICCS 2006, PT 2, PROCEEDINGS, 2006, 3992 : 863 - 870
  • [43] Applications of Concurrent Sequential Patterns in Protein Data Mining
    Wang, Cuiqing
    Lu, Jing
    Keech, Malcolm
    MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014, 2014, 8556 : 243 - 257
  • [44] Data Mining Techniques to Predict Protein Secondary Structures
    Fayech, Sond Es
    Essoussi, Nadia
    Limam, Mohamed
    2013 5TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO), 2013,
  • [45] Confirmation of data mining based predictions of protein function
    King, RD
    Wise, PH
    Clare, A
    BIOINFORMATICS, 2004, 20 (07) : 1110 - 1118
  • [46] Predicting Protein Function by Genomic Data-Mining
    Song, Changxin
    Ma, Ke
    ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES, 2008, 15 : 229 - +
  • [47] Predicting Protein Function Based on Genomic Data Mining
    Song, Chang-xin
    Wu, Xiaoming
    Wang, Bo
    Cheng, Jingzhi
    2008 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING, 2008, : 759 - 762
  • [48] Mining the Protein Data Bank to improve prediction of changes in protein-protein binding
    Flores, Samuel Coulbourn
    Alexiou, Athanasios
    Glaros, Anastasios
    PLOS ONE, 2021, 16 (11):
  • [49] Protein-metabolite interactomics of carbohydrate metabolism reveal regulation of lactate dehydrogenase
    Hicks, Kevin G.
    Cluntun, Ahmad A.
    Schubert, Heidi L.
    Hackett, Sean R.
    Berg, Jordan A.
    Leonard, Paul G.
    Aleixo, Mariana A. Ajalla
    Zhou, Youjia
    Bott, Alex J.
    Salvatore, Sonia R.
    Chang, Fei
    Blevins, Aubrie
    Barta, Paige
    Tilley, Samantha
    Leifer, Aaron
    Guzman, Andrea
    Arok, Ajak
    Fogarty, Sarah
    Winter, Jacob M.
    Ahn, Hee-Chul
    Allen, Karen N.
    Block, Samuel
    Cardoso, Iara A.
    Ding, Jianping
    Dreveny, Ingrid
    Gasper, William C.
    Ho, Quinn
    Matsuura, Atsushi
    Palladino, Michael J.
    Prajapati, Sabin
    Sun, Pengkai
    Tittmann, Kai
    Tolan, Dean R.
    Unterlass, Judith
    VanDemark, Andrew P.
    Vander Heiden, Matthew G.
    Webb, Bradley A.
    Yun, Cai-Hong
    Zhao, Pengkai
    Wang, Bei
    Schopter, Francisco J.
    Hill, Christopher P.
    Nonato, Maria Cristina
    Muller, Florian L.
    Cox, James E.
    Rutter, Jared
    SCIENCE, 2023, 379 (6636) : 996 - 1003
  • [50] Analyzing the impact of protein representation on mining structural patterns from protein data
    Albert, Silvana
    Czibula, Gabriela
    Teletin, Mihai
    2018 IEEE 12TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI), 2018, : 533 - 538
12345