A Maximum Entropy Approach to Defining Cell State

Autor:	Jayanthy, Ashika-Sita
Rok vydání:	2022
Předmět:	Quantitative Biology - Other Quantitative Biology Physics - Biological Physics
Druh dokumentu:	Working Paper
Popis:	The past few decades have seen great leaps in technologies to analyze cells and tissues. Omics methods in particular now allow us unprecedented access to their the molecular composition where the base-level resolution of transcripts and their numbers can be determined at a single cell level. Existing methods to analyze the resulting data make use of the count data while discarding the information present in the sequences themselves. In this paper we used a maximum entropy approach to develop a method to analyze RNA-seq data using both the sequence and count information. By mapping sequences to vectors of spins and defining an energy function on them, we were able to identify specific states in a biological process using mean energies and their associated Boltzmann-probabilities. This approach opens up new avenues in the quantitative analysis of -omics data and analysis of biological function. Comment: This paper is being withdrawn due to a unsolvable error in the central premise and method
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2204.09099 Zobrazit plný text záznamu View this record from Arxiv