Results 221 to 230 of about 103,187 (313)

Dynamic, Unconstrained Optimization of Secreted Enzyme Production in Fed‐Batch Fermentation Using Reinforcement Learning

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Reinforcement learning (RL) has been used to control a wide range of dynamic processes, especially ones that are too complex to model well or have stochastic environmental perturbations. Fed‐batch fermentations are subject to changes in starting cell growth rates and process variations that can affect cell growth and secreted target production.
Sai Harish Uthravalli, Sakib Ferdous, J. Michael Hess, Nigel F. Reuel   +3 more
wiley   +1 more source

Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability. [PDF]

PLoS One
Fulton L, Lyu P.
europepmc   +1 more source

Minimizing Off‐Target Effects of CRISPR‐Cas9 With Optimized sgRNA: Evaluation of Efficiency and Specificity in the Tumor Protein 53 (TP53) Region

Biotechnology and Bioengineering, EarlyView.
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) – Cas9‐based genome editing has emerged as a widely used tool across various disciplines, ranging from molecular biology to gene therapy. This revolutionary technology, which enables precise gene editing, represents a significant advancement in biotechnology, opening new frontiers for ...
Ali Mertcan Köse, Monia Ranalli, Drenka Trivanovic, Irina Maslovaric   +3 more
wiley   +1 more source

Bayesian Networks and Causal Discovery. [PDF]

Entropy (Basel)
Gao X, Wang Z.
europepmc   +1 more source

Adaptive Genomic Divergence Across Altitudes in Capsella bursa‐pastoris

Biological Diversity, EarlyView.
Genomic divergence was observed between high‐altitude and low‐altitude populations of Capsella bursa‐pastoris in China, consistent with an important role of ecological factors. Candidate adaptive loci associated with enhanced energy metabolism, photoprotection, and growth plasticity under altitudinal stress were identified.
Lu Liu, Jia Li, Xin Liu, Xue‐Jun Ge, Hui‐Run Huang   +4 more
wiley   +1 more source

Navigating the mysterious space of evolutionary histories. [PDF]

Proc Natl Acad Sci U S A
Drummond AJ, Popinga A.
europepmc   +1 more source

Missing the (Bayesian) wood for the trees?

, 2019
III Congreso Internacional Virtual de Educación Estadística (CIVEEST), 21-24 febrero de 2019. [www.ugr.es/local/fqm126/civeest.html]
openaire   +1 more source

Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice

Biological Reviews, EarlyView.
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins, Mark C. Nikolic, James D. Holmes, Daniela S. Monti, Ernesto E. Vargas‐Parra, Russell D.C. Bicknell, Gregory D. Edgecombe, Katherine Jordan‐Burmeister, John R. Paterson, Shravya Srivastava‐Losey   +9 more
wiley   +1 more source

Chromosomal Replication, Translocation and Recombination as Putative Events in the Diversification of Vertebrate <i>AQP8</i>-Type Genes. [PDF]

Int J Mol Sci
Finn RN, Cerdà J.
europepmc   +1 more source

Back to Nature or Technology to the Rescue? Climate Managers' Preferences for Investment in Carbon Dioxide Removal

Business Strategy and the Environment, EarlyView.
ABSTRACT Firms are increasingly looking into carbon dioxide removal (CDR), a set of options to take past emissions of greenhouse gases out of the atmosphere. Often two basic categories of CDR are distinguished: nature‐based solutions, such as planting trees or restoring wetlands, and technology‐based solutions, such as various forms of carbon capture ...
Sabrina Mili, Robert Mai, Rolf Wüstenhagen, Moritz Loock   +3 more
wiley   +1 more source