Insights Into Quantitative Biology: analysis of cellular adaptation

2013/07/01 by Valentina Agoni, Agoni, Valentina · 1 citation
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #Gene expression and cancer classification #Genomics and Chromatin Dynamics #Molecular Biology Techniques and Applications #Other Quantitative Biology (q-bio.OT) #q-bio.OT

paper · pdf · doi:10.48550/arxiv.1307.0451

8 pages, 3 figures

arxiv created 2013/07/01 · openalex publication_date 2013/07/01 · arxiv updated 2013/07/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In the last years many powerful techniques have emerged to measure protein interactions as well as gene expression. Many progresses have been done since the introduction of these techniques but not toward quantitative analysis of data. In this paper we show how to study cellular adaptation and how to detect cellular subpopulations. Moreover we go deeper in analyzing signal transduction pathways dynamics.

Citations

• High-Throughput Droplet Digital PCR System for Absolute Quantitation of DNA Copy Number

Cited by

• DNA evolved to minimize frameshift mutations

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