Results 31 to 40 of about 31,875 (125)
Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?
All microRNA (miRNA) target—finder algorithms return lists of candidate target genes. How valid is that output in a biological setting? Transcriptome analysis has proven to be a useful approach to determine mRNA targets. Time course mRNA microarray experiments may reliably identify downregulated genes in response to overexpression of specific miRNA ...
Christian Barbato +6 more
wiley +1 more source
A new distance between rankings
This paper analyzes the behavior of the well-known Spearman's footrule distance (F-distance) to measure the distance between two rankings over the same set of objects. We show that F-distance is not invariant to labeling, and therefore, it suffers from a
Jean Dezert +2 more
doaj +1 more source
Universities represent critical yet underutilized platforms for climate change mitigation through renewable energy transitions, yet few have integrated high‐resolution spatial analytics with actionable policy frameworks for institutional decarbonization.
Mehmet Fatih Döker +4 more
wiley +1 more source
Comonotonic‐Based Time Series Clustering With Constraints: A Review and a Conceptual Framework
ABSTRACT Time series clustering is a widely used unsupervised learning approach that identifies groups of similar time series to uncover hidden patterns in complex datasets. In recent years, this technique has gained traction in the analysis of geo‐referenced time series, where spatial information must be incorporated into the dissimilarity measure to ...
Alessia Benevento +2 more
wiley +1 more source
Spearman’s correlations between variables.
Spearman’s correlations between variables.
Akiomi Inoue (533106) +6 more
core +1 more source
Time Variant Node Ranking Technique for Chatbot Neural Graph
This study provides an approach to convert a neural graph into a ranking tree and a path to navigate through it. So the chatbot can identify which node is more promising and has a shorter path than other nodes for information retrieval. ABSTRACT This study seeks to put repetitiveness characteristics into AI.
Ahmed Imtiaz +2 more
wiley +1 more source
Fingerprint database clustering and localization using the k‐medoids and k‐nearest neighbour (k‐NN) algorithms, respectively, are generally carried out using distance‐based fingerprint similarity metrics, and their performances are dependent on the type of distance metric used. Contrary to the commonly used distance‐based similarity metrics, this paper
Abdulmalik Shehu Yaro +3 more
wiley +1 more source
Central actors or opinion leaders are in the right structural position to spread relevant information or convince others about adopting an innovation or behaviour change. Who is a central actor or opinion leader might be conceptualised in various ways.
Róbert Pethes +4 more
wiley +1 more source
Producción CientíficaWelfare is multidimensional as it involves not only income, but also education, health or labour. The composite indicators of welfare are usually based on aggregating somehow the information across dimensions and individuals ...
Prieto Alaiz, María Mercedes +1 more
core +1 more source
Spearman's Footrule as a Measure of Agreement
Spearman's footrule measure of the relationship between two sets of ranks is shown to be a chance-corrected measure of agreement. The footrule is generalized to include tied ranks and a comparison with Spearman's rank-order correlation coefficient is ...
Paul W. Mielke, Kenneth J. Berry
core +1 more source

