Correction: Measuring Fisher Information Accurately in Correlated Neural Populations. [PDF]
PLoS Computational Biology, 2016 [This corrects the article DOI: 10.1371/journal.pcbi.1004218.].
PLOS Computational Biology Staff
doaj +1 more source
Correction: Sequential inference as a mode of cognition and its correlates in fronto-parietal and hippocampal brain regions. [PDF]
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1005418.].
PLOS Computational Biology Staff
doaj +1 more source
Computational Biology and Bioinformatics in Nigeria [PDF]
PLoS Computational Biology, 2014 Over the past few decades, major advances in the field of molecular biology, coupled with advances in genomic technologies, have led to an explosive growth in the biological data generated by the scientific community. The critical need to process and analyze such a deluge of data and turn it into useful knowledge has caused bioinformatics to gain ...
Bourne, Philip E. +10 more
openaire +6 more sources
Correction: lumpGEM: Systematic generation of subnetworks and elementally balanced lumped reactions for the biosynthesis of target metabolites. [PDF]
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1005513.].
PLOS Computational Biology Staff
doaj +1 more source
Towards a lightweight generic computational grid framework for biological research [PDF]
, 2008 Background: An increasing number of scientific research projects require access to large-scale computational resources. This is particularly true in the biological field, whether to facilitate the analysis of large high-throughput data sets, or to ...
Halling-Brown, Mark D. +2 more
core +3 more sources
occumb: An R package for site occupancy modeling of eDNA metabarcoding data
Population Ecology, EarlyView.This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley +1 more source
Erratum: Notification of Republication: Modeling individual time courses of thrombopoiesis during multi-cyclic chemotherapy. [PDF]
PLoS Computational Biology, 2019 [This corrects the article DOI: 10.1371/journal.pcbi.1006775.].
PLOS Computational Biology Staff
doaj +1 more source
Computational challenges of systems biology [PDF]
, 2004 Progress in the study of biological systems such as the heart, brain, and liver will require computer scientists to work closely with life scientists and mathematicians.
Finkelstein, A. +6 more
core
Bits from Biology for Computational Intelligence [PDF]
, 2014 Computational intelligence is broadly defined as biologically-inspired computing. Usually, inspiration is drawn from neural systems. This article shows how to analyze neural systems using information theory to obtain constraints that help identify the ...
Lizier, Joseph T. +2 more
core +2 more sources
Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors
Population Ecology, EarlyView.Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley +1 more source