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Lab report for Period of a Pendulum Lab

Gene regulatory networks have an important role to study the behaviour of genes. By analysing these Gene Regulatory Networks we can get the detailed information i.e. the occurrence of diseases by changing behaviour of GRNs. Many different approaches are used (i.e. qualitative modelling and hybrid modelling) and various tools (i.e. GenoTech, GINsim) have been developed to model and simulate gene regulatory networks. GenoTech allows the user to specify a GRN on Graphical User Interface (GUI) according to the asynchronous multivalued logical functions of René Thomas, and to simulate and/or analyse its qualitative dynamical behaviour. René Thomas discrete modelling of gene regulatory network (GRN) is a well known approach to study the dynamics of genes. It deals with some parameters which reflect the possible targets of trajectories. Those parameters are priory unknown. These unknown parameters are fetched using another model checking tool SMBioNet. SMBioNet produces all the possible parameters satisfying the given Computational Logic Tree (CTL) formula as input. This approach involving logical parameters and conditions also known as qualitative modelling of GRN. However, this approach neglects the time delays for a gene to pass from one level of expression to another one i.e. inhibition to activation and vice versa. To find out these time delays, another modelling tool HyTech is used to perform hybrid modelling of GRN. We have developed a Java based tool called GenNet http://asanian.com/gennet to facilitate the model checking user by providing a unique GUI layout for both qualitative and quantitative modelling of GRNs. As we discussed, three separate modelling tools are used for complete modelling and analysis of a GRN. This process is much lengthy and takes too much time. GenNet assists the modelling users by providing some extra features i.e. CTL editor, parameters filtering and input/output files management. GenNet takes a GRN network as input and does all the rest of computations i.e. CTL verification, K-parameters generation, parameter implication to GRN, state graph, hybrid modelling and parameter filtration automatically. GenNet serves the user by computing the results within seconds that were taking hours and days of manual computation

The Weekly Work Report template for students in ZhengLab, Dept. Electronic Engineering, Ocean University of China.

In this work we apply machine learning as a conducive method towards identifying previously unstudied patterns in chromosome interaction data sets. We rst use supervised learning to show that patterns identi ed by a user can be learned by tensor ow models, and then transition into unsupervised methods to delve even more deeply into the possibilities of discovery without human intervention.

Plantilla modelo para que los estudiantes de la Universidad Industrial de Santander la usen y se guíen en la entrega de los informes de laboratorio de electromagnetismo

Product Rating System using Sentiment Analysis

Adaptación de la plantilla IEEE for journals, para ser utilizada en los cursos de Ingeniería de Sistemas en la Universidad Minuto de Dios.

Classe do LaTeX para manuscritos da Escola Politécnica da USP. A classe poliTeX (leia-se "POLITEK") é baseada na classe para monografias ABNT adaptada pelo Prof. Paulo Barreto para os padrões da POLI-USP. Modelo de acordo com a norma POLI 2013 Repositório original: https://github.com/lchamon/poliTeX

Template do documento gerado para uso na disciplina de Projeto Dirigido, obrigatória do Bacharelado em Ciências e Tecnologia. Dúvidas, sugestões ou críticas? Contate b.focassio@aluno.ufabc.edu.br ou alexandre.o@aluno.ufabc.edu.br