proteins sharing active compounds have similar binding characteristics. Therefore, we searched for pairs of targets with common ligands. While proteins forming 22,008 pairs (93%) did not have any active compounds in common, 452 protein
Load a standard machine learning dataset and calculate correlation coefficients between all pairs of real-valued variables. If you explore any of these extensions, I’d love to know. Let me know your success stories in the comments below. Further Reading This section provides more resources on...
2 was also used to determine differentially expressed genes between pairs at a q-value of ≤0.05. PCA and correlation-based network analysis Principal component analyses were performed on the metabolite combined with the lipid dataset as well as on the gene expression datasets to determine clusters...
It would be a bit tedious to manually calculate the correlation between each pairs of columns in our dataframe (= pairwise correlation). Fortunately, Pingouin has a very convenient pairwise_corr function:pg.pairwise_corr(df).sort_values(by=['p-unc'])[['X', 'Y', 'n', 'r', 'p-...
Correlation based learning from spike timing dependent plasticity We explore a synaptic plasticity model where potentiation and depression are induced by precisely timed pairs of synaptic events and postsynaptic spikes. W... MCWV Rossum,GG Turrigiano - 《Neurocomputing》 被引量: 68发表: 2001年 ...
In order to create a control, we randomly selected adjacent URL pairs in the first SERP collection and determined the likelihood that the second will outrank the first in the final SERP collection. Approximately 18.93% of the time the worse ranking URL would overtake the better ranking URL. By...
Background: In this paper, data from two studies relative to the relationship between the electroencephalogram (EEG) activities of two isolated and physically separated subjects were re-analyzed using machine-learning algorithms. The first dataset comprises the data of 25 pairs of participants where ...
In particular, given a training set of N input–target pairs 𝒳={(𝐱(𝑖),𝐲(𝑖))}𝑁𝑖=1X={(x(i),y(i))}i=1N, the quality of a particular configuration of parameters is quantitatively assessed by a loss function ℒ(𝒳,𝜽)L(X,θ). It is important to note that ...
The algorithm works best if discrete clusters of unique elemental concentration pairs can be found. The J48 classifier used in WEKA, which is based on the C4.5 classifier [26], is an algorithm that aims at choosing the particular attribute of the data which most effectively splits its set ...
(n− 1)/2 possible pairs of letters. Make a list of suchpairs, AB, AC, …, BC, BD, …. Record a 1 or −1 next to each pair such that if the ranks, that is, theyrvalues, show an increase from the 1st member of the pair to the 2nd, record 1, and if they show a ...