PROBABILISTIC MODELING OF GENE REGULATORY NETWORKS FROM DATA Thesis submitted for the degree “Doctor of Philosophy”

First Page		Document Content
Date: 2015-08-10 08:23:34 Statistics Networks Learning Systems science Statistical models Systems biology Machine learning Bayesian network Gene regulatory network Nir Friedman Gaussian process Nonlinear dimensionality reduction		PROBABILISTIC MODELING OF GENE REGULATORY NETWORKS FROM DATA Thesis submitted for the degree “Doctor of Philosophy” Add to Reading List Source URL: www.cs.huji.ac.il Download Document from Source Website File Size: 3,85 MB Share Document on Facebook

	Visualizing statistical models: Removing the blindfold Hadley Wickham, Dianne Cook and Heike Hofmann Department of Statistics MSMain St Houston TXe-mail: DocID: 1xVjw - View Document
	Noise-contrastive estimation: A new estimation principle for unnormalized statistical models Michael Gutmann Dept of Computer Science and HIIT, University of Helsinki DocID: 1xUlB - View Document
	Code Completion with Statistical Language Models Veselin Raychev Martin Vechev Eran Yahav DocID: 1xToM - View Document
	An Introduction to the Statistical Analysis of Agent-Based Models Giorgio Fagiolo https://mail.sssup.it/~fagiolo DocID: 1vhKi - View Document
	FallSTA4513: Statistical Models of Networks Lecture 3 — 24 September, 2014 Prof. Daniel M. Roy DocID: 1vfwF - View Document