Scale-invariant transition probabilities in free word association trajectories

Scale-Invariant Transition Probabilities in Free Word Association Trajectories

Free-word association has been used as a vehicle to understand the organization of human thoughts. The original studies relied mainly on qualitative assertions, yielding the widely intuitive notion that trajectories of word associations are structured, yet considerably more random than organized linguistic text. Here we set to determine a precise characterization of this space, generating a lar...

Exact Power Estimation Using Word Level Transition Probabilities

We propose a model and an algorithm to perform exact power estimation taking into account all temporal and spatial correlations of the input signals. The proposed methodology is able to accurately model temporal and spatial correlations at the logic level, with the input signal correlations being specified at the word level using a simple but effective formulation. This paper includes three ind...

Representing Finitely Additive Invariant Probabilities

Transition Probabilities for Continual

scEpath: Energy landscape-based inference of transition probabilities and cellular trajectories from single-cell transcriptomic data.

Motivation Single-cell RNA-sequencing (scRNA-seq) offers unprecedented resolution for studying cellular decision-making processes. Robust inference of cell state transition paths and probabilities is an important yet challenging step in the analysis of these data. Results Here we present scEpath, an algorithm that calculates energy landscapes and probabilistic directed graphs in order to reco...