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SiGN: Large-Scale Gene Network Estimation Software

SiGN: Large-Scale Gene Network Estimation Software. Welcome to SiGN WWW site. Is a collection of large-scale gene network estimation software consisting of three different gene network models: state space models, nonparametric Bayesian networks, and L1 regularization. A gene network. Is open source gene network estimation software able to run in parallel. On PCs and massively parallel supercomputers. The software estimates a state space model. SiGN-BN is currently available for HGC supercomputer users.

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SiGN: Large-Scale Gene Network Estimation Software | sign.hgc.jp Reviews
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SiGN: Large-Scale Gene Network Estimation Software. Welcome to SiGN WWW site. Is a collection of large-scale gene network estimation software consisting of three different gene network models: state space models, nonparametric Bayesian networks, and L1 regularization. A gene network. Is open source gene network estimation software able to run in parallel. On PCs and massively parallel supercomputers. The software estimates a state space model. SiGN-BN is currently available for HGC supercomputer users.
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SiGN: Large-Scale Gene Network Estimation Software | sign.hgc.jp Reviews

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SiGN: Large-Scale Gene Network Estimation Software. Welcome to SiGN WWW site. Is a collection of large-scale gene network estimation software consisting of three different gene network models: state space models, nonparametric Bayesian networks, and L1 regularization. A gene network. Is open source gene network estimation software able to run in parallel. On PCs and massively parallel supercomputers. The software estimates a state space model. SiGN-BN is currently available for HGC supercomputer users.

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Publication [SiGN: Large-Scale Gene Network Estimation Software]

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SiGN: Large-Scale Gene Network Estimation Software. Ogami, K., Yamaguchi, R., Imoto, S., Tamada, Y., Araki, H., Print C., and Miyano, S. (2012). Computational gene network analysis reveals TNF-induced angiogenesis, BMC Systems Biology. Suppl 2), S12. Tamada, Y., Shimamura, T., Yamaguchi, R., Imoto, S., Nagasaki, M., and Miyano, S. (2011). SiGN: Large-scale gene network estimation environment for high performance computing, Genome Informatics. Tamada, Y., Yamaguchi, R., Imoto, S., Hirose, O&#4...Shimamura...

2

Members [SiGN: Large-Scale Gene Network Estimation Software]

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SiGN: Large-Scale Gene Network Estimation Software. Lecturer ( Web Site. Associate Professor ( Web Site. Professor ( Web Site. Laboratory of DNA Information Analysis and. Laboratory of DNA Sequence Analysis. Institute of Medical Science. The University of Tokyo. Department of Integrative Genomics, Laboratory of Biomedical Information Analysis,. Tohoku Medical Megabank organization, Tohoku University. Data Analysis Fusion Team. RIKEN Computational Science Research Program. Institute of Medical Science.

3

SiGN: 大規模遺伝子ネットワークソフトウェア

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サイン は DNA チップなどで得られる遺伝子発現データやタンパク発現データ， miRNA を含む noncoding RNA 発現データなどから細胞内分子の発現制御システムのモデル化 予測を行うスーパーコンピュータ用ソフトウェア群です SiGN は時系列発現データからシステムをモデル化する状態空間モデルを用いた SiGN-SSM， 時系列データおよびノックダウンや患者サンプルなどの静的データから遺伝子間の発現の依存関係をベイジアンネットワークを用いて予測する SiGN-BN， 静的データから遺伝子間の発現の依存関係をL1正則化法を用いて予測する SiGN-L1 の 3 つの数学的 統計学的モデルを用いて大規模遺伝子ネットワークを予測 推定することができます SiGN は非常に複雑で大量の計算を行うため，実行にはスーパーコンピュータが必須です このソフトウェアは 2012 年に完成が予定されている次世代スーパーコンピュータ 京 けい を利活用するために理化学研究所の次世代計算科学研究開発プログラムが進めている 次世代生命体統合シミュレーションの研究開発 プロジェクトで研究開発されているソフトウェアの１つ...

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TCNG: The Cancer Network Galaxy

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TCNG The Cancer Network Galaxy 0.14. Database of Cancer Gene Networks from Public Gene Expression Data. The Cancer Network Galaxy (TCNG) is a database of cancer gene networks estimated from the publicly available cancer gene expression data. You can search for or browse networks via a WWW browser. Network and gene search. Currently, you can not use the combinations of AND and OR keywords. To perform edge search. However, unfortunately it is very very slow. For edge search, you can also use. A model of ge...

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TCNG: The Cancer Network Galaxy

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TCNG The Cancer Network Galaxy 0.14. Database of Cancer Gene Networks from Public Gene Expression Data. TCNG DB 0.14 Wed Mar 30 15:00:31 2016 JST. 2013, 2016 SiGN Project Members. Website: http:/ sign.hgc.jp.

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TCNG: The Cancer Network Galaxy

http://tcng.hgc.jp/browse.html

TCNG The Cancer Network Galaxy 0.14. Database of Cancer Gene Networks from Public Gene Expression Data. Browse all the networks. TCNG DB 0.14 Wed Mar 30 15:00:31 2016 JST. 2013, 2016 SiGN Project Members. Website: http:/ sign.hgc.jp.

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TCNG: The Cancer Network Galaxy

http://tcng.hgc.jp/download.html

TCNG The Cancer Network Galaxy 0.14. Database of Cancer Gene Networks from Public Gene Expression Data. TCNG is implemented by PHP and SQLite 3. You can use, download and re-distribute the PHP scripts under GNU Affero GPL v3. The database file is distributed under CC BY-SA. By using the PHP scripts and DB file, you can build your own TCNG search site for your own work. SQLite3 DB file. (737,321,984 bytes). TCNG PHP scripts. (18,371 bytes). TCNG DB 0.14 Wed Mar 30 15:00:31 2016 JST.

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TCNG: The Cancer Network Galaxy

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TCNG The Cancer Network Galaxy 0.14. Database of Cancer Gene Networks from Public Gene Expression Data. About This Web Site. TCNG is currently under development and available as a beta release. TCNG is developed by. Release 0.14 built on Wed Mar 30 15:00:31 2016. 256 EGF related networks are added. The Number of Array Sets: 256 GEO array sets. The Number of Gene Sets: 768 sets. The Number of Networks: 768. The Number of Genes: 22,820. The Number of Nodes: 24,907. The Number of Edges: 16,545,373. Number o...

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SiGN: Large-Scale Gene Network Estimation Software

SiGN: Large-Scale Gene Network Estimation Software. Welcome to SiGN WWW site. Is a collection of large-scale gene network estimation software consisting of three different gene network models: state space models, nonparametric Bayesian networks, and L1 regularization. A gene network. Is open source gene network estimation software able to run in parallel. On PCs and massively parallel supercomputers. The software estimates a state space model. SiGN-BN is currently available for HGC supercomputer users.

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