A conditional random fields method for RNA sequence–structure relationship modeling and conformation sampling
نویسندگان
چکیده
منابع مشابه
A conditional random fields method for RNA sequence–structure relationship modeling and conformation sampling
UNLABELLED Accurate tertiary structures are very important for the functional study of non-coding RNA molecules. However, predicting RNA tertiary structures is extremely challenging, because of a large conformation space to be explored and lack of an accurate scoring function differentiating the native structure from decoys. The fragment-based conformation sampling method (e.g. FARNA) bears sho...
متن کاملRNA Structural Alignment with Conditional Random Fields
Computationally identifying non-coding RNA regions on the genome has much attention to be investigated. However, it is essentially harder than gene-finding problems for protein-coding regions because non-coding RNA sequences do not have a strong statistical signals. Since comparative sequence analysis is effective for non-coding RNA detection, efficient computational methods are expected for st...
متن کاملMarkov Random Fields and Conditional Random Fields
Markov chains provided us with a way to model 1D objects such as contours probabilistically, in a way that led to nice, tractable computations. We now consider 2D Markov models. These are more powerful, but not as easy to compute with. In addition we will consider two additional issues. First, we will consider adding observations to our models. These observations are conditioned on the value of...
متن کاملModeling Broad Context for Tone Recognition with Conditional Random Fields
We propose a tone recognition approach that employs linearchain Conditional Random Fields (CRF) to model tone variation due to intonation effects. We implement three linearchain CRFs which aim at modeling intonation effects at phrasesentenceand story-level boundaries, where we show that standard recognition techniques degrade and common normalization approaches do not improve. We show that all ...
متن کاملInfinite Latent Conditional Random Fields for Modeling Environments through Humans
Humans cast a substantial influence on their environments by interacting with it. Therefore, even though an environment may physically contain only objects, it cannot be modeled well without considering humans. In this paper, we model environments not only through objects, but also through latent human poses and human-object interactions. However, the number of potential human poses is large an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2011
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btr232