IXMDB integrates the advantages of both the schema-conscious method and the schema-oblivious method, and avoids the main drawbacks from each method.
Due to lack of considering the structure and the feature distribution of images, traditional content-oblivious methods have clear drawbacks, e.g., if the aspect ratio is changed greatly, an image will bring obvious distortion by Scaling, and Cropping is likely to throw away much important information distributing over the entire image via cutting pixels from the image periphery only.
Proper length normalization is also explaining the accuracy gain of isoform-aware GE methods (Cufflinks, RSEM, and IsoEM) over isoform oblivious GE methods.
Some players are oblivious to the method of listening to the bats' vibrations, but others are at least familiar with it.
In the family of the vertex-cut methods, Oblivious [2] and HDRF (High-Degree (are) Replicated First) [6] are the state-of-the-art algorithms.
The method is oblivious to the type of anemometer used for the data acquisition and is useful for all kinds of multiphase measurements.
When working with unprocessed raw intensity ratios [ 13, 15, 16], most methods are oblivious to noise clutter that can significantly confound estimation of the null distribution about true yet sporadic CNAs [ 9, 17].
Thus, this method is highly oblivious to the network throughput, though it can ensure fairness in terms of FIFO request queues.
In this paper, we present our research in this direction, extending the one-dimensional method for cache-oblivious SpMV multiplication to two dimensions, while still allowing only row and column permutations on the sparse input matrix.
Given that the method is unsupervised and hence completely oblivious of the disease labels, if such retrieval is successful, it is a promising starting point for developing methods for leveraging data from earlier patients in early detection of disease and personalized medicine.
Indeed, as shown in the 'Experimental results' section, genome-wide gene expression level estimates derived from isoform level estimates are significantly more accurate than those obtained directly from RNA-Seq data using isoform-oblivious GE methods such as the widely used counting of unique reads, the rescue method of [ 9], or the EM algorithm of [ 10].
