The lion's share of bacteria in various environments cannot be cloned in the laboratory and
thus cannot be sequenced using existing technologies. A major goal of single-cell genomics …

Generative models are becoming a tool of choice for exploring the molecular space. These
models learn on a large training dataset and produce novel molecular structures with similar …

Error correction of sequenced reads remains a difficult task, especially in single-cell
sequencing projects with extremely non-uniform coverage. While existing error correction tools …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of the …

Deep generative adversarial networks (GANs) are the emerging technology in drug discovery
and biomarker development. In our recent work, we demonstrated a proof-of-concept of …

Qualitative studies, such as sociological research, opinion analysis and media studies, can
benefit greatly from automated topic mining provided by topic models such as latent Dirichlet …

Objectives: Analysis of dental radiographs is an important part of the diagnostic process in
daily clinical practice. Interpretation by an expert includes teeth detection and numbering. In …

High-mass-resolution imaging mass spectrometry promises to localize hundreds of metabolites
in tissues, cell cultures, and agar plates with cellular resolution, but it is hampered by the …

Recent research has shown the advantages of using autoencoders based on deep neural
networks for collaborative filtering. In particular, the recently proposed Mult-VAE model, which …

Rapidly increasing quality of AI-generated content makes it difficult to distinguish between
human and AI-generated texts, which may lead to undesirable consequences for society. …