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Математика Математика
Основы математического анализа и элементы дифференциальных уравнений Основы математического анализа и элементы дифференциальных уравнений

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A Probabilistic Time Series Model for Gene Regulatory Relationships and Learning the Model from Gene Expression Data Learning Causal Networks from Gene Expression Data.

Автор:   Nasir A.
мягкая обложка
172 страниц
2009 год
Издательство:   Книга по Требованию
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2781 руб
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Описание:We have validated the learning algorithm on simulated data, and carried out experiments on real microarray data. In doing so, we have discovered novel, yet plausible, biological relationships. In this work we present a new model for identifying dependencies within a gene regulatory cycle. A key simplifying feature in our model is the use of a compression function for collapsing multiple causes of gene expression into a single cause. The model incorporates both probabilistic and temporal aspects, but is kept deliberately simple to make it amenable for learning from the gene expression data of microarray experiments. This allows us to introduce a learning algorithm which avoids the over-fitting tendencies of models with many parameters.


Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

2990 руб
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Never Eat Alone

They would lead me to opportunities otherwise hidden to a person of my upbringing, and they'd come to my aid when I failed, as we all do on occasion. That aid was never in more dire need than during my first job out of business school at Deloitte & Touche Consulting. By conventional standards, I was an awful entry-level consultant. Put me in front of a spreadsheet and my eyes glaze over, which is what happened when I found myself on my first project, huddled in a cramped windowless room in the middle of suburbia, files stretching from floor to ceiling, poring over a sea of data with a few other first-year consultants. I tried; I really did. But I just couldn't. I was convinced boredom that bad was lethal. I was clearly well on my way to getting fired or quitting. Luckily, I had already applied some of the very rules of networking that I was still in the process of learning. In my spare time, when I wasn't painfully attempting to analyze some data-ridden worksheet, I reached out to ex-classmates, professors, old bosses, and anyone who might stand to benefit from a relationship with Deloitte ...»

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