Identifying sources of variation and the flow of information in biochemical networks
By Clive G. Bowsher, Peter S. Swain. 2012
141 citations recorded by the source corpus.
Subfields: Molecular Biology
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In Molecular Biology
- John C. Marioni
- Sarah A. Teichmann
- Masatoshi Uehara
- Nathan Kallus
- Valentine Svensson
- Aleksandra A. Kolodziejczyk
- Jong Kyoung Kim
- Cole Trapnell
Citations in the corpus
- Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning (2019, methodology): “A policy π : X ×A → [0, 1] assigns each state x ∈ X a distribution over actions with π(a|x) being the probability of taking actions a into x.”
- Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes (2019, methodology): “To show an efficiency bound, we use a law of total variance (Bowsher and Swain, 2012).”
- The technology and biology of single-cell RNA sequencing. (2015, background): “It is estimated that only 10%–20%of transcripts 612 Molecular Cell 58, May 21, 2015 ª2015 Elsevier Inc. get reverse transcribed, leading to high technical noise, especially for lowly expressed genes, due to Poisson sampling of the transcripts at this stage (Islam et al., 2014).”