Automatic Extraction of DNA Profiles in Polyacrilamide Gel Electrophoresis Images
In this paper is presented a method for the automatic DNA spots classification and extraction of profiles associated in DNA polyacrilamide gel electrophoresis based on image processing. A software which implements this method was developed, composed by four modules: Digital image acquisition, image...
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creator | Silva-Mata, Francisco Talavera-Bustamante, Isneri González-Gazapo, Ricardo Hernández-González, Noslén Palau-Infante, Juan R. Santiesteban-Vidal, Marta |
description | In this paper is presented a method for the automatic DNA spots classification and extraction of profiles associated in DNA polyacrilamide gel electrophoresis based on image processing. A software which implements this method was developed, composed by four modules: Digital image acquisition, image preprocessing, feature extraction and classification, and DNA profile extraction. The use of different types of algorithms as: C4.5 Decision Trees, Support Vector Machines and Leader Algorithm are needed to resolve all the tasks. The experimental results show that this method has a very nice computational behavior and effectiveness, and provide a very useful tool to decrease the time and increase the quality of the specialist responses. |
doi_str_mv | 10.1007/11578079_26 |
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A software which implements this method was developed, composed by four modules: Digital image acquisition, image preprocessing, feature extraction and classification, and DNA profile extraction. The use of different types of algorithms as: C4.5 Decision Trees, Support Vector Machines and Leader Algorithm are needed to resolve all the tasks. The experimental results show that this method has a very nice computational behavior and effectiveness, and provide a very useful tool to decrease the time and increase the quality of the specialist responses.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540298502</identifier><identifier>ISBN: 3540298509</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540322429</identifier><identifier>EISBN: 3540322426</identifier><identifier>DOI: 10.1007/11578079_26</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Automatic Extraction ; Codebook Vector ; Computer Science ; Computer science; control theory; systems ; Exact sciences and technology ; Pattern recognition. Digital image processing. 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A software which implements this method was developed, composed by four modules: Digital image acquisition, image preprocessing, feature extraction and classification, and DNA profile extraction. The use of different types of algorithms as: C4.5 Decision Trees, Support Vector Machines and Leader Algorithm are needed to resolve all the tasks. The experimental results show that this method has a very nice computational behavior and effectiveness, and provide a very useful tool to decrease the time and increase the quality of the specialist responses.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Automatic Extraction</subject><subject>Codebook Vector</subject><subject>Computer Science</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Profile Extraction</subject><subject>Signal and Image Processing</subject><subject>Sobel Edge Detector</subject><subject>Support Vector Machine</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540298502</isbn><isbn>3540298509</isbn><isbn>9783540322429</isbn><isbn>3540322426</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2005</creationdate><recordtype>book_chapter</recordtype><recordid>eNpNUblOAzEUNJdEBKn4ATcUFAu2n9dHGUEISBGHBLX14tjEsIkje0Hw9wSBgGlGmqsZQo44O-WM6TPOW22Ytk6oLTK02kArGQghhd0mA644bwCk3fn1hDUtE7tkwICJxmoJ-2RY6zPbALhVIAbkfvTa5yX2ydPxe1_Q9ymvaI704mZE70qOqQuVphW9y90H-pI6XKZ5oJPQ0XEXfF_yepFLqKnS6yU-hXpI9iJ2NQx_-IA8Xo4fzq-a6e3k-nw0bRaihb6xYRYioBYRI3oICrCVRqLSsVVWc83NPLYSpW6DMoLbGdiZgeDn3syZ9HBATr53F9i5dUlLLB8uY3JXo6n70pg0TCmm3_gme_ydXWP12MWCK5_qb4tr0EJz9bdZN9bqKRQ3y_mlOs7c1wXu3wXwCYbUcfo</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Silva-Mata, Francisco</creator><creator>Talavera-Bustamante, Isneri</creator><creator>González-Gazapo, Ricardo</creator><creator>Hernández-González, Noslén</creator><creator>Palau-Infante, Juan R.</creator><creator>Santiesteban-Vidal, Marta</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope><scope>1XC</scope><scope>VOOES</scope></search><sort><creationdate>2005</creationdate><title>Automatic Extraction of DNA Profiles in Polyacrilamide Gel Electrophoresis Images</title><author>Silva-Mata, Francisco ; Talavera-Bustamante, Isneri ; González-Gazapo, Ricardo ; Hernández-González, Noslén ; Palau-Infante, Juan R. ; Santiesteban-Vidal, Marta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h253t-9ebef3a72fafac3e63a5484a67f56971718df54a475e68219b39b83ecdc8d04c3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Automatic Extraction</topic><topic>Codebook Vector</topic><topic>Computer Science</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Profile Extraction</topic><topic>Signal and Image Processing</topic><topic>Sobel Edge Detector</topic><topic>Support Vector Machine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silva-Mata, Francisco</creatorcontrib><creatorcontrib>Talavera-Bustamante, Isneri</creatorcontrib><creatorcontrib>González-Gazapo, Ricardo</creatorcontrib><creatorcontrib>Hernández-González, Noslén</creatorcontrib><creatorcontrib>Palau-Infante, Juan R.</creatorcontrib><creatorcontrib>Santiesteban-Vidal, Marta</creatorcontrib><collection>Pascal-Francis</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Silva-Mata, Francisco</au><au>Talavera-Bustamante, Isneri</au><au>González-Gazapo, Ricardo</au><au>Hernández-González, Noslén</au><au>Palau-Infante, Juan R.</au><au>Santiesteban-Vidal, Marta</au><au>Sanfeliu, Alberto</au><au>Cortés, Manuel Lazo</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Automatic Extraction of DNA Profiles in Polyacrilamide Gel Electrophoresis Images</atitle><btitle>Lecture Notes in Computer Science</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2005</date><risdate>2005</risdate><volume>3773</volume><spage>242</spage><epage>251</epage><pages>242-251</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540298502</isbn><isbn>3540298509</isbn><eisbn>9783540322429</eisbn><eisbn>3540322426</eisbn><abstract>In this paper is presented a method for the automatic DNA spots classification and extraction of profiles associated in DNA polyacrilamide gel electrophoresis based on image processing. A software which implements this method was developed, composed by four modules: Digital image acquisition, image preprocessing, feature extraction and classification, and DNA profile extraction. The use of different types of algorithms as: C4.5 Decision Trees, Support Vector Machines and Leader Algorithm are needed to resolve all the tasks. The experimental results show that this method has a very nice computational behavior and effectiveness, and provide a very useful tool to decrease the time and increase the quality of the specialist responses.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11578079_26</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | Springer Books |
subjects | Applied sciences Artificial intelligence Automatic Extraction Codebook Vector Computer Science Computer science control theory systems Exact sciences and technology Pattern recognition. Digital image processing. Computational geometry Profile Extraction Signal and Image Processing Sobel Edge Detector Support Vector Machine |
title | Automatic Extraction of DNA Profiles in Polyacrilamide Gel Electrophoresis Images |
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