Sentences with phrase «other datasets as»

With TCGA, ICGC, and other datasets as a framework for comparison, we can undoubtedly learn a great deal about the somatic changes underlying rare tumor types.

Not exact matches

The new dataset offers organizations selling into legal and compliance departments the same level of in - depth, verified data as DiscoverOrg provides in its other datasets.

Many other potential applications of this dataset are explored in the series of papers, and they include studying the role of faint galaxies during cosmic reionisation (starting just 380,000 years after the Big Bang), galaxy merger rates when the Universe was young, galactic winds, star formation as well as mapping the motions of stars in the early Universe.

«I hope to be able to apply this method to other continents, such as North America, where there are large datasets of carbon isotopes,» Caves said.

Because the temperature readings as indicated by seismology were backed up by the other datasets, they can be used to calibrate seismic readings for places where geochemical samples aren't available.

The team ranked the strength of the evidence of a given policy's effectiveness as limited (at least one study showed an effect, which wasn't contradicted by other studies), moderate (two or more studies showed the same effect, no contradictory studies) or supported (three or more studies with at least two independent datasets found an effect with no contradictory studies).

«This data will enable such discoveries as the original star clusters of the Galaxy, including the Sun's birth cluster and solar siblings — there is no other dataset like this ever collected anywhere else in the world,» Dr De Silva said.

Together with other researchers from the US semiconductor manufacturer Intel as well as the Intel Visual Computing Institute at Saarland University, he therefore developed a method that also works with incomplete datasets.

And even now, including preprints and other «interim products,» such as research protocols or datasets, is «an option,» he says, not a requirement.

Using these multidimensional datasets for human breast cancer, PLK4 was identified as a candidate target among 10,000 other targets for the development of anticancer therapeutics.

The researchers are working to extend the software to collect and handle similar datasets on other bacteria, as well as expanding on the visualization and analysis functionalities.

Now, as a result of 10 years work, Huang and her team have created a cervical cancer screening technique that, based on an analysis of a very large dataset, has the potential to perform as well or better than human interpretation on other traditional screening results, such as Pap tests and HPV tests — at a much lower cost.

In this course we will learn how algorithms, databases and popular software tools are used to answer these and many other questions in modern clinical genomic biology as well as applying them to real world whole human genomes experimental datasets for understanding and interpretation.

This interface enables the analysis of PiMS data in light of other datasets, such as protein sequence and structural information, and enables a future vision of tools which track the provenance of published biomedical results to the datasets and samples involved in the research project.

The NCBR also serves as a portal to access chimpanzee brain atlas tools, data repository, bibliography of publications, educational information, and links to other chimpanzee brain resources and datasets on the Internet.

Mathematically sophisticated computation with this rich dataset then revealed that as individuals begin to interact and watch the fights of others, they accumulate knowledge of who wins in fights against whom.

In addition to the data already available, such as holds, titles, circulation, and traffic data, the new datasets will have an increased focus on web traffic intelligence, such as time spent searching, browsing, and socializing about ebooks and other media.

The latter part of the century is easier because aerosols and solar are going the other way and we have additional datasets (such as OHC) to constrain mechanisms.

In turn, we find these datasets to correspond well to independent observations of SST, suggesting that some particular regions of the globe are not as affected as others by calibration artifacts.

It's not clear to me how a new dataset or new adjustments are marked as an advance or improvement upon existing sets (other than adding 2014 or something.)

Klotzbach 2006 uses the same dataset as Webster et al. 2005 (note typo in your post, not 2006) and finds no trends in numbers of Cat 4 - 5 or ACE other than in the Atlantic.

To continue to focus on a small dataset without critical importance to the overall global dataset, other consistent trends and the issue as a whole is to data cherry - pick.

If AGW skeptics have valid hypotheses to explain the various datasets (not just temperature but other observations as well), why are they not showing up in quantity in the peer - reviewed literature?

It is widely used, for example, for imputing missing values in climate and other datasets and for estimating information about past climates from proxies such as tree - ring widths.

As I mentioned before, the three surface datasets are a long ways from being in agreement with each other.

Other tree ring datasets don't show the same divergence issue, as summarized in Cook et al 2004 and as shown in the image below (note that the northern tree rings in dark blue diverge while the southern tree rings in red do not — and Briffa's rings are from northerly trees).

The new data sets, introduced today as part of an online Climate Resilience Toolkit, comprise more than 250 Arctic - related datasets and more than 40 maps, tools, and other resources designed to support climate - resilience efforts in the Arctic.

The fact that GISS shows more warming since 1990 than any other dataset indicates this possibility (and the others are not pure as driven snow here either).

I do in places amplify my conclusions with additional statements, such as explicitly accepting three other datasets in a sence Dr. Curry apparently hadn't considered, and rejecting the uses of any other IPCC product than what I state later — only the model runs, and only to establish «What - if» there were no GHE as a secondary confirmation of what we know from our premises, the data, and strict inference.)

Roy and I were the first to build climate - type global temperature datasets from satellite microwave sensors, so we learned as we went — and were aided by others who read our papers and checked our methods.

Sticking with that last 18 - year trend as of March 2015, how does the most recent period stack up versus other 18 - year periods when the entire HC4 dataset from 1850 is analyzed?

Why doesn't the GISS dataset comport with climate reality as documented by other sources and experts?

Combining these data with other datasets allows investigating issues such as how small, medium and large - scale farmers are positioned in terms of agroforestry systems (Zomer et al 2016) or impacts on forests (Hansen et al 2013, Godar et al 2014, Meyfroidt et al 2014).

There are subtle differences between the measurements by CRU, NASA and the other global temperature datasets, which allow for CRU to name 1998 as the hottest year, with NASA claiming 2005 — by a few hundredths of a degree.

Those results match the results achieved with the entire dataset, thus showing that concerns over the «great thermometer» drop out are unfounded, as has been shown before with other analytic approaches (see Zeke, Nick Stokes and Mosher).

As noted above, major advances from GRACE and other datasets now permit analyses of glacier mass loss that were not possible previously.

We repeat the analysis for the NCEP and satellite epochs to establish that the approach is robust for datasets of different lengths, and we examine the evolution of decadal power in the natural influences to assess their projections onto each other as sources of error in prior results.

The derivation if as follows: there are four datasets: (1) and (2) anthropic emissions and their time varying delta13C, (3) CO2 content of the air (since 1958) and (4) its delta13C (since about 1977 with some measurements before) The CO2 content of the air is made of an anthropic part (about 6 % now, much less in 1958) and of a natural part (94 % now, 98.4 % in 1958); the delta13C of the natural part is slowly shifting from the -6.5 pm of the little ice age (from corals and other proxies) to about -7 pm; is it this shift in the natural part that constrains the lifetime: non realistic values are obtained for too short and too long lifetimes.

If you take out the bristlecone pine record and use all the other datasets you find that, just as history confirms, there was a Medieval Warm Period during which temperatures were considerably higher than they are now (THIS, TOO, IS PUREST FICTION.

The 60 - year quasi-periodicity in the temperature data is plainly not caused by CO2, because it has increased monotonically, not cyclically, and absence of correlation between the CO2 and temperature datasets necessarily implies absence of causation between one and the other as far as the cyclicity is concerned.

-- It is even worse scientifically when the adjustments are being used in a key dataset that is being used by thousands of other researchers as the base for other areas of research.

Having worked with many of the scientists in question, I can say with certainty that there is no grand conspiracy to artificially warm the earth; rather, scientists are doing their best to interpret large datasets with numerous biases such as station moves, instrument changes, time of observation changes, urban heat island biases, and other so - called inhomogenities that have occurred over the last 150 years.

The other datasets are originally defined only as values relative to reference periods.

«The authors have produced adjustments that are at odds with all other surface temperature datasets, as well as those compiled via satellite.»

Figure 2 «(b) ENSO - adjusted global mean temperature changes to 2008 as a function of starting year for HadCRUt3, GiSS dataset (Hansen et al. 2001) and the NCDC dataset» (Smith et al. 2008)-- but really nothing to do with any other type of variation at all.

Gergis et al must have bitter regrets concerning this because the Law Dome data that is available make it clear that, as a proxy dataset for Southern Hemisphere temperature trends, the Law Dome data is superior to others.

However, as outlined by Bengtsson et al. (2004) and others (see IPCC AR4 Chapter by Trenberth), reanalysis datasets are not typically employed for climate change studies without considerable bias correction, and that is a difficult proposition in itself.

Mann, Jacoby, d'Arrigo, and seemingly, JEG fail to understand how damming it appears in the eyes of others when they refuse to be forthcoming with their data selection methods, withholding as they do the datasets which they rejected.

As to the ethics of climate disaster researchers, and the credibility of their models, data and reports, ClimateGate emails reveal that researchers used various «tricks» to mix datasets and «hide the decline» in average global temperatures since 1998; colluded to keep skeptical scientific papers out of peer - reviewed journals; deleted potentially damaging or incriminating emails; and engaged in other practices designed to advance manmade climate change alarms.

The technique was originally developed to examine the storm tracks produced by atmospheric general circulation models (GCMs), but it is directly applicable to other gridded SLP datasets, such as those derived in weather forecasts or reanalysis projects.