Visualization of Power Analysis http://amarder.GITHUB.io/power-analysis/ Useful sliders giving one a feel of the #statistics
Posts Tagged ‘from_ans’
Treefinder Retraction Note [interestingly, done editorially due to change in software-license terms] http://www.biomedcentral.com/1471-2148/15/243 HT @bornalibran
Preserving Validity in Adaptive Data Analysis http://ibmresearchnews.blogspot.com/2015/08/preserving-validity-in-adaptive-data_6.html Using differential #privacy for correct #stats even w/ test-set reuse
“A common next step would be to use the least-squares linear regression to check whether a simple linear combination of the three strongly correlated foods can predict the grade. It turns out that a little combination goes a long way: we discover that a linear combination of the three selected foods can explain a significant fraction of variance in the grade (plotted below). The regression analysis also reports that the p-value of this result is 0.00009 meaning that the probability of this happening purely by chance is less than 1 in 10,000.
Recall that no relationship exists in the true data distribution, so this discovery is clearly false. This spurious effect is known to experts as Freedman’s paradox. It arises since the variables (foods) used in the regression were chosen using the data itself.
We found that challenges of adaptivity can be addressed using techniques developed for privacy-preserving data analysis. These techniques rely on the notion of differential privacy that guarantees that the data analysis is not too sensitive to the data of any single individual. We rigorously demonstrated that ensuring differential privacy of an analysis also guarantees that the findings will be statistically valid. We then also developed additional approaches to the problem based on a new way to measure how much information an analysis reveals about a dataset.
The Thresholdout Algorithm
Using our new approach we designed an algorithm, called Thresholdout, that allows an analyst to reuse the holdout set of data for validating a large number of results, even when those results are produced by an adaptive analysis.
Widespread [25% genes] seasonal…expression reveals [circ]annual differences in…immunity, relevant for vaccination http://www.nature.com/ncomms/2015/150512/ncomms8000/full/ncomms8000.html
In addition to circadian rhythms, batch effects, now consider seasonal effects on gene expression
G&T-seq: parallel…#singlecell genomes & transcriptomes by @CGATist
lab & others http://www.nature.com/nmeth/journal/vaop/ncurrent/full/nmeth.3370.html low cov. matched data on 130+ cells
G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
Iain C Macaulay,
Yang I Li,
Tim Xiaoming Hu,
Mabel J Teng,
Lesley M Shirley,
Niels Van der Aa,
Peter D Ellis,
Michael A Quail,
Harold P Swerdlow,
Frederick J Livesey,
Chris P Ponting
& Thierry Voet
Nature Methods 12, 519–522 (2015) doi:10.1038/nmeth.3370Received 18 November 2014 Accepted 27 March 2015 Published online 27 April 2015
BRAF #Pseudogene Functions as a Competitive Endogenous RNA; [Shows it] induces Lymphoma [after alteration, in mice]
Cell. 2015 Apr 9;161(2):319-32. doi: 10.1016/j.cell.2015.02.043. Epub 2015 Apr 2.
Karreth FA1, Reschke M1, Ruocco A1, Ng C1, Chapuy B2, Léopold V1, Sjoberg M3, Keane TM3, Verma A4, Ala U1, Tay Y1, Wu D5, Seitzer N1, Velasco-Herrera Mdel C3, Bothmer A1, Fung J1, Langellotto F6, Rodig SJ7, Elemento O4, Shipp MA2, Adams DJ3, Chiarle R8, Pandolfi PP9.
Research over the past decade has suggested important roles for pseudogenes in physiology and disease. In vitro experiments
demonstrated that pseudogenes contribute….
The pi moment of the century just occurred on the E Coast, USA: 3.14.15 9:26:53 (March 14, 2015 9:26:53 am ET)! via @bornalibran #PiDay2015
auto-updating your gmail contacts by analyzing email signatures:
The other softwares related are:
(https://www.contactually.com/for-individuals/tour/contact-management/) 2) Signusapp https://signusapp.wordpress.com/