Francesc Font-Clos

TL;DR: A topographic map underlying epithelial–mesenchymal transitions is constructed using a combination of numerical simulations of a Boolean network model and the analysis of bulk and single-cell gene expression data, revealing a multitude of metastable hybrid phenotypic states.

TL;DR: This work studies three different versions of Zipf’s law by fitting them to all available English texts in the Project Gutenberg database and finds one of them is able to fit more than 40% of thetexts in the database at the 0.05 significance level.

TL;DR: It is shown that the ability to exhibit phenotypic plasticity correlates positively with the number of positive feedback loops in a given network, elucidating the importance of network topology in enabling phenotyping plasticity.

TL;DR: This article proposed a simple scaling form for the distribution of absolute word frequencies that brings to light the robustness of this distribution as text grows, showing that the shape of the distribution is always the same, and it is only a scale parameter that increases (linearly) with text length.

TL;DR: The Standardized Project Gutenberg Corpus (SPGC), an open science approach to a curated version of the complete PG data containing more than 50,000 books and more than 3×109 word-tokens, is presented, providing a reproducible, pre-processed, full-size version of Project Gutenberg as a new scientific resource for corpus linguistics, natural language processing, and information retrieval.