As a scripting language with module architecture, simple syntax and rich text processing tools, Python is often used for natural language processing tasks.
Here they became rich by processing salt, mining iron ore, trading furs and cultivating fresh-water pearls.
This ability to change one's mind presumably reflects rich internal processing that can continually reevaluate both what act to make and whether to make it now.
This paper presented a novel application of factored language models (FLMs) in the field of text generation, in which FLMs are intended to overcome data sparseness, an issue that is particularly prevalent in morphologically-rich language processing.
SAF-B proteins have been shown to interact with RNA polymerase II and a subset of serine- and arginine-rich RNA processing factors (SR proteins) which localize in the nucleus in a speckled pattern[18], [31].
GW bodies (GWB, glycine- and tryptophan-rich cytoplasmic processing bodies; also known as mammalian processing (P) bodies or Dcp containing bodies, hereafter referred to as GW/P bodies) are cytoplasmic foci in mammalian cells enriched in the GW182 protein, which is characterized by multiple glycine (G) and tryptophan (W) repeats and a carboxyl terminal classical RNA binding domain [1].
Importantly, this analysis further shows that such A-rich 3′end processing sites correlate with an increased frequency of U/GU sequences in their DSE compared with poly(A) sites that contain the canonical A(A/U UAAA hexamers.
Interestingly, our analysis of more than 10 000 human poly(A) sites showed that non-canonical A-rich 3′end processing sites can be found in a significant number of human genes.
Nayler et al. [ 1] first described interactions between SAFB1 with RNA polymerase II and a subset of serine/arginine-rich RNA processing factors (SR proteins) suggesting that SAFB1 serves as a molecular base for the assembly of a transcriptome complex that couples chromatin organising S/MARs elements with transcription and pre-mRNA processing [ 1].
While hyperspectral data are rich in information, processing the hyperspectral data poses several challenges regarding computation speed requirements, information redundancy removal, relevant information identification, and modeling accuracy.
