Results 61 to 70 of about 8,185,214 (318)
Knowledge Engineering from Data Perspective: Granular Computing Approach [PDF]
The concept of rough set theory is a mathematical approach to uncertainly and vagueness in data analysis, introduced by Zdzislaw Pawlak in 1980s. Rough set theory assumes the underlying structure of knowledge is a partition.
Barot, Rushin
core +1 more source
Fuzzy Rough Sets versus Rough Fuzzy Sets
Reihe Computational Intelligence ...
openaire +2 more sources
ZFAS1 is a lncRNA promoting cell proliferation and migration, exhibiting high expression in various cancers. It is conserved, widely expressed, and produces multiple splice variants with unclear roles. We identified several splice variants in hepatocyte models, and found that inhibiting or suppressing regulators of the unfolded protein response (PERK ...
Sébastien Soubeyrand +2 more
wiley +1 more source
Several rough set models in quotient space
In order to deal with coarse‐grained and multi‐grained calculation problems, as well as granularity transformation problems in information system, quotient space theory is introduced in rough set theory.
Huanmin Zhao, Liwen Ma
doaj +1 more source
Rough matroids based on coverings [PDF]
The introduction of covering-based rough sets has made a substantial contribution to the classical rough sets. However, many vital problems in rough sets, including attribution reduction, are NP-hard and therefore the algorithms for solving them are ...
Yang, Bin, Zhao, Hong, Zhu, William
core
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui +10 more
wiley +1 more source
Attitude preference plays an important role in multigranulation data mining and decision-making. That is, different attitude preferences lead to different results.
Hongwei Wang +4 more
doaj +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Rough sets and matroidal contraction [PDF]
Rough sets are efficient for data pre-processing in data mining. As a generalization of the linear independence in vector spaces, matroids provide well-established platforms for greedy algorithms.
Wang, Jingqian, Zhu, William
core
YIPFα1A expression is regulated by multilayered molecular mechanisms
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji +2 more
wiley +1 more source

