Results 241 to 250 of about 18,970 (289)

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

open access: yesAdvanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou   +8 more
wiley   +1 more source

A Novel Peak-Shape Aware Approach for Mass Alignment in Mass Spectrometry. [PDF]

open access: yesRapid Commun Mass Spectrom
Vanhemel T   +5 more
europepmc   +1 more source

A taxonomy based semantic similarity of documents using the cosine measure

open access: yes2009 24th International Symposium on Computer and Information Sciences, 2009
In this paper, we present a new method for calculating semantic similarities between documents. This method is based on cosine similarity calculation between concept vectors of documents obtained from a taxonomy of words that captures IS-A relations. The calculation of semantic similarities between documents is a very time consuming task, since it is ...
Ainura Madylova   +1 more
openaire   +2 more sources

Intuitionistic Fuzzy Ordered Weighted Cosine Similarity Measure

Group Decision and Negotiation, 2013
The aim of this paper is to introduce the intuitionistic fuzzy ordered weighted cosine similarity (IFOWCS) measure by using the cosine similarity measure of intuitionistic fuzzy sets and the generalized ordered weighted averaging (GOWA) operator. Some desirable properties and different families of the IFOWCS measure are investigated.
Ligang Zhou, Zhifu Tao, Jinpei Liu
exaly   +2 more sources

New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach

open access: yesKnowledge and Information Systems, 2022
The most straightforward approaches to checking the degrees of similarity and differentiation between two sets are to use distance and cosine similarity metrics.
Murat Kirisci, Kirisci Murat
exaly   +2 more sources

Home - About - Disclaimer - Privacy