Fatma Aliye and Defense of Islamic Values

The article concerns an analysis of the recently published text by Fatma Aliye debating with European ideas and prejudices about Islam that has not been a subject of interest in the South Slavonic intellectual and academic circles. Fatma Aliye (1862–1936) was the first Turkish woman novelist, the first Turkish woman philosopher, and the author of the book Tezâhür-i Hakikat (Appearance of Truth) that was published for the first time in January 2016 on the occasion of the 80th anniversary of her death. Like some writers of the Tanzimat era, especially Namik Kemal, Fatma Aliye entered the debate with the European writers wishing to oppose the prevailing Orientalist approach in Europe that had been blaming Islam for the stagnation of sciences and culture. She demonstrated enviable erudition and devotion to the Islamic culture. Her views show the permanent duality of the Ottoman intellectuals between their desire for Westernization and their need to stay in the Islamic tradition. In many aspects, the approaches to Islam and the defence of Islamic values of Fatma Aliye are still current

Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions-4

<p><b>Copyright information:</b></p><p>Taken from "Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions"</p><p>http://www.biomedcentral.com/1471-2105/8/481</p><p>BMC Bioinformatics 2007;8():481-481.</p><p>Published online 19 Dec 2007</p><p>PMCID:PMC2265442.</p><p></p

Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions-0

And OPT (natural logarithm, optimized matrix length) for each TF. The vertical axis shows the false-positive rate (logarithmic scale) for that algorithm at true-positive rates defined in the caption at the top of the figure. The upper and lower plots compare the algorithms using 15 nt mononucleotide and 20 nt dinucleotide PWMs respectively.<p><b>Copyright information:</b></p><p>Taken from "Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions"</p><p>http://www.biomedcentral.com/1471-2105/8/481</p><p>BMC Bioinformatics 2007;8():481-481.</p><p>Published online 19 Dec 2007</p><p>PMCID:PMC2265442.</p><p></p

Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions-3

Ations, p < 0.001; d) negative correlations, p < 0.001. Whole analyzed 30 bp long region corresponds to [1;30] window of 29 dinucleotide positions. Also note that the SF-1 consensus sequence GTCAAGGTCA [39] located within region [10;19].<p><b>Copyright information:</b></p><p>Taken from "Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions"</p><p>http://www.biomedcentral.com/1471-2105/8/481</p><p>BMC Bioinformatics 2007;8():481-481.</p><p>Published online 19 Dec 2007</p><p>PMCID:PMC2265442.</p><p></p

Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions-5

Oint). Combined approach implied that both PWM and SiteGA models recognized a potential site.<p><b>Copyright information:</b></p><p>Taken from "Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions"</p><p>http://www.biomedcentral.com/1471-2105/8/481</p><p>BMC Bioinformatics 2007;8():481-481.</p><p>Published online 19 Dec 2007</p><p>PMCID:PMC2265442.</p><p></p

Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions-2

Is instance, better performance is marked by higher values and plots positioned further to the left. FP rates (X axis) are in logarithmic scale.<p><b>Copyright information:</b></p><p>Taken from "Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions"</p><p>http://www.biomedcentral.com/1471-2105/8/481</p><p>BMC Bioinformatics 2007;8():481-481.</p><p>Published online 19 Dec 2007</p><p>PMCID:PMC2265442.</p><p></p