“Qualquer coisa crescendo exponencialmente irá dobrar em um certo período de tempo”. David Suzuki fala do problema da superpopulação com uma analogia fácil de entender. Editado por: Helder Nakaya Projeto “Divulgando Ciência com Animação”.
Suggested by: Lucas Source: Scientific American “Bayes’s theorem, touted as a powerful method for generating knowledge, can also be used to promote superstition and pseudoscience … Bayesian statistics “are rippling through everything
Post by: Flavio Source: R-bloggers “In January 2014, Stanford University professors Trevor Hastie and Rob Tibshirani (authors of the legendary Elements of Statistical Learning textbook) taught an online course based on their newest textbook,
Post by Flavio Lichtenstein. Image Credit: Erin DeWalt. Check out this very nice Web Collection! “There is no disputing the importance of statistical analysis in biological research, but too often it is considered only
Post by Helder. Mais de 98% do nosso genoma não codifica proteínas. Será que este DNA é realmente um lixo que nossas células carregam? Pesquisas recentes mostram que não. Para saber mais: https://cosmosmagazine.com/life-scien… Artigo
Post by Aureliano Guedes. NATURE REVIEWS CANCER | REVIEW Principles and methods of integrative genomic analyses in cancer Vessela N. Kristensen, Ole Christian Lingjærde, Hege G. Russnes, Hans Kristian M. Vollan, Arnoldo Frigessi &
Post by Helder. Very scary… check the paper here. Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome David Venet, Jacques E. Dumont, Vincent Detours Abstract Bridging the gap between animal
Post by Matheus. Union Exon Based Approach for RNA-Seq Gene Quantification: To Be or Not to Be? Shanrong Zhao , Li Xi, Baohong Zhang Abstract In recent years, RNA-seq is emerging as a powerful
Post by Helder. Com as nossas vidas totalmente conectadas pelas redes sociais, surge agora uma nova maneira de monitorar doenças, hábitos e até epidemias na população. E tudo em tempo real. Essa é a
Post by Pedro. Check the LearnDataSci website. “Pulled from the web, here is a our collection of free books on Data Science, Big Data, Data Mining, Machine Learning, Python, R, SQL, NoSQL and more.
Post by Fred. Read the paper here. Writing scientific articles like a native English speaker: top ten tips for Portuguese speakers Mariel A. Marlow “Can you identify a single colleague who has not had a
Post by Pedro. Generate your own deep dream photos and images for free. ABOUT DEEP DREAM Google has spent the last few years teaching computers how to see, understand, and appreciate our world. It’s
Post by Leonardo. Share Your Data Science Narratives In R with the New R Essentials Package Today, we’re excited to announce that the new R Essentials bundle has been created for Anaconda. R Essentials bundles IRKernel, and over 80
Post by Matheus. BATMat (Bioinformatics Autodiscovery of Training Materials) is a Google-based, open source, automatic search tool for training materials. BATMat helps gain access with one click to filtered and portable information containing
Post by Pedro and Leonardo. For those who never understood how Principal Component Analysis works… Start here. Other useful links: here here here and here. Image credit.
Suggested by Pedro and Helder. The codeacademy course for starters in command line. Check here. Also check here (nice cheat sheet): Become a Command Line Ninja With These Time-Saving Shortcuts Image credit
Suggested by Pedro. “Course Description This course is offered to undergraduates and is an elementary discrete mathematics course oriented towards applications in computer science and engineering. Topics covered include: formal logic notation, induction,
Suggested by Thiago M. Venancio. Very nice read. PLoS Biology paper: Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm Tracey L. Weissgerber , Natasa M. Milic, Stacey J. Winham, Vesna
Suggested by Matheus, Pedro and Leonardo. Here are some important cheat sheets. For statistical tests: click here. For R-based Software: click here. For Big-O complexities of common algorithms used in Computer Science: click
Suggested by Pedro Russo. “Visual learning to help student pass statistics class. Channel includes video lessons on regression, z scores, t statistics, Analysis of Variance (ANOVA), Chi Square, SPSS, Excel and most topics taught