Generating X
نویسندگان
چکیده
منابع مشابه
Generating X Formation of the Optic Chiasm
At the optic chiasm, axons from either eye meet and decide whether to cross contralaterally or turn back ipsilaterally. Here, the guidance ligand Slit and its receptor Robo control not whether axons cross (as in other midline decisions), but where the chiasm forms. Whether axons cross is instead controlled by the transcription factor Zic2 and the guidance receptor EphB1, as shown by two papers ...
متن کاملOn composition of generating functions
In this work we study numbers and polynomials generated by two type of composition of generating functions and get their explicit formulae. Furthermore we state an improvementof the composita formulae's given in [6] and [3], using the new composita formula's we construct a variety of combinatorics identities. This study go alone to dene new family of generalized Bernoulli polynomials which incl...
متن کاملOn generating T-X family of distributions using quantile functions
The cumulative distribution function (CDF) of the T-X family is given by R{W(F(x))}, where R is the CDF of a random variable T, F is the CDF of X and W is an increasing function defined on [0, 1] having the support of T as its range. This family provides a new method of generating univariate distributions. Different choices of the R, F and W functions naturally lead to different families of dis...
متن کاملGENERATING FUZZY RULES FOR PROTEIN CLASSIFICATION
This paper considers the generation of some interpretable fuzzy rules for assigning an amino acid sequence into the appropriate protein superfamily. Since the main objective of this classifier is the interpretability of rules, we have used the distribution of amino acids in the sequences of proteins as features. These features are the occurrence probabilities of six exchange groups in the seque...
متن کاملThe IUFP Algorithm for Generating Simulation Heart
In all systems simulation, random variates are considered as a main factor and based of simulation heart. Actually, randomization is inducted by random variates in the simulation. Due to the importance of such a problem, a new method for generation of random variates from continuous distributions is presented in this paper. The proposed algorithm, called uniform fractional part (UFP) is simpler...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neuron
سال: 2003
ISSN: 0896-6273
DOI: 10.1016/s0896-6273(03)00563-4