— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Background: In Eukaryotic genomes, different features including genes are not uniformly distributed. The integration of annotation information and genomic position of functional D...
Alessandro Coppe, Gian Antonio Danieli, Stefania B...
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Abstract-- Successful investment management relies on allocating assets so as to beat the stock market. Asset classes are affected by different market dynamics or latent trends. Th...
Ruairi de Frein, Konstantinos Drakakis, Scott Rick...
Background: Semantic similarity scores for protein pairs are widely applied in functional genomic researches for finding functional clusters of proteins, predicting protein functi...
Jing Wang 0004, Xianxiao Zhou, Jing Zhu, Chenggui ...