Microtubules are highly dynamic polymers of α, β-tubulin dimers which play an essential role
in numerous cellular processes such as cell proliferation and intracellular transport, making …

With the number of cells measured in single-cell RNA sequencing (scRNA-seq) datasets
increasing exponentially and concurrent increased sparsity due to more zero counts being …

Electronic properties and absorption spectra are the grounds to investigate molecular
electronic states and their interactions with the environment. Modeling and computations are …

This study conducts an in-depth analysis of clustering small molecules using spectral
geometry and deep learning techniques. We applied a spectral geometric approach to …

The abuse or misuse of antibiotics has caused the emergence of extensively drug-resistant
(XDR) bacteria, rendering most antibiotics ineffective and increasing the mortality rate of …

Abstract Summary We implemented the Self-Organizing Maps algorithm running efficiently
on GPUs, and also provide several clustering methods of the resulting maps. We provide …

Motivation The term clustering designates a comprehensive family of unsupervised learning
methods allowing to group similar elements into sets called clusters. Geometrical clustering …

Abnormal elongation of the polyglutamine tract transforms exon 1 of the Huntingtin protein
(Htt-exon-1) from wildtype to pathogenic form, and causes Huntington's disease. As an …

Disruption of the dynamic equilibrium of microtubules can induce cell cycle arrest in G2/M
phase and apoptosis. Hence, discovery of novel tubulin polymerization inhibitors is very …

The reaction of C60 with pregnen-20-carboxaldehyde, a biologically active synthetic steroid,
by using a 1, 3-dipolar cycloaddition reaction (Prato's protocol) results in the formation of …