Particle Swarm Optimization
Introduction Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). The system is initialized with a population of random solutions and searches fo
FreeMat
Home FreeMat is a free environment for rapid engineering and scientific prototyping and data processing. It is similar to commercial systems such as MATLAB from Mathworks, and IDL from Research Systems, but is Open Source. FreeMat is available under the GPL license. News Updated News - 2013-06-31 - FreeMat 4.2 - 32 bit binary for Windows Added a 32 bit installer for people using Windows XP. Latest
第8章・傾向検定
同一順位がいくつか存在する． 各T値を算出する．１：1996年群，２：1998年群，３：2000年群，４：2002年群を示す． T１２を例に取れば，1996年群の40.6未満の値が存在する1998年群内の個数，次に38.0未満の値が存在する1998年群内の個数････････順次探し出す． S１２は同一値の数 T１２= 9+ 8+ 9+10+10+10+ 9+ 9+ 2+ 0= 75 S１２=1 T１３=10+10+10+10+10+10+10+10+ 6+ 1= 87 S１３=1 T１４=10+10+10+10+10+10+10+10+ 9+ 4= 93 S１４=0 T２３= 5+10+ 6+10+10+10+ 9+10+ 9+ 9= 88
ROKU: a novel method for identification of tissue-specific genes - BMC Bioinformatics
Research article Open access Published: 12 June 2006 ROKU: a novel method for identification of tissue-specific genes Koji Kadota1, Jiazhen Ye1, Yuji Nakai1, Tohru Terada1 & …Kentaro Shimizu1 Show authors BMC Bioinformatics volume 7, Article number: 294 (2006) Cite this article BackgroundOne of the important goals of microarray research is the identification of genes whose expression is considerab
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