| Presentation | 2012-07-03 A Visualization Method for Cancer Classification based on Protein Distribution Data from the Cell Array Hironori KITAKAZE, Shouhei IGAWA, Tsuyoshi ITO, Tomoko FURUYA, Masahiro KANDA, Nobuhiko IKEDA, Hiroshi MATSUNO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Cell array technology using a laser scanning cytometer is to quantify the distribution of intracellular protein, which can allow an estimation of the protein, set to indicate a significant change in expression of cancer cells. However, even for a doctor of pathology to perform such classification of information from these numbers is not easy. So, we can visualize by using easy-to-understand graphics technology, information of protein, thought to support this classification. More specifically, we create a system to visualize these information which are represented by a sequence of three kinds of information cohesion distribution range, the protein expression level and classification criteria. This visualization sequence has the advantage of compression of the data without losing the essential part of the cell array information and also contribute to the efficiency of a large amount of data analysis. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | cancer cell / protein / visualization / laser scanning cytometer / classification / cell array |
| Paper # | CAS2012-23,VLD2012-33,SIP2012-55,MSS2012-23 |
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| Committee | MSS |
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| Conference Date | 2012/6/25(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Mathematical Systems Science and its applications(MSS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Visualization Method for Cancer Classification based on Protein Distribution Data from the Cell Array |
| Sub Title (in English) | |
| Keyword(1) | cancer cell |
| Keyword(2) | protein |
| Keyword(3) | visualization |
| Keyword(4) | laser scanning cytometer |
| Keyword(5) | classification |
| Keyword(6) | cell array |
| 1st Author's Name | Hironori KITAKAZE |
| 1st Author's Affiliation | Oshima College of Maritime Technology() |
| 2nd Author's Name | Shouhei IGAWA |
| 2nd Author's Affiliation | Oshima College of Maritime Technology |
| 3rd Author's Name | Tsuyoshi ITO |
| 3rd Author's Affiliation | Oshima College of Maritime Technology |
| 4th Author's Name | Tomoko FURUYA |
| 4th Author's Affiliation | Graduate School of Medicine, Yamaguchi University |
| 5th Author's Name | Masahiro KANDA |
| 5th Author's Affiliation | Oshima College of Maritime Technology |
| 6th Author's Name | Nobuhiko IKEDA |
| 6th Author's Affiliation | Tokuyama College of Technology, Dept.of Computer Science & Electronic Engineering |
| 7th Author's Name | Hiroshi MATSUNO |
| 7th Author's Affiliation | Graduate School of Science and Engineering, Yamaguchi University |
| Date | 2012-07-03 |
| Paper # | CAS2012-23,VLD2012-33,SIP2012-55,MSS2012-23 |
| Volume (vol) | vol.112 |
| Number (no) | 116 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |