𝟳 𝗙𝗿𝗲𝗲 𝗚𝗲𝗻𝗼𝗺𝗶𝗰𝘀 𝗗𝗮𝘁𝗮𝘀𝗲𝘁𝘀 𝗦𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝗖𝗮𝗻 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

It serves as a comprehensive platform for storing and sharing high-throughput biological data, including gene expression microarrays, RNA sequencing (RNA-seq), single-cell RNA sequencing (scRNA-seq), ...

Frequency Balances Model (FBM), described in Creus-Martí et al (2021). Bayesien Principal Balances Model (BPBM), presented in Creus-Martí et al (2022). The model described in Creus-Martí et al (2018) ...

Genome-wide mapping of factors that bind, package, replicate and transcribe DNA continues to be challenging despite rapid advances in DNA sequencing technologies. For nearly two decades, chromatin ...

Technological advances in characterizing molecular heterogeneity at the single cell level have ushered in a deeper understanding of the biological diversity of cells present in tissues including ...

Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Speyerer Strasse 6, 69115 Heidelberg, Germany, FOM-AMOLF, ...