Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions [PDF]
arXiv, 2023 Recent advances in Large Language Models (LLMs) have presented new opportunities for integrating Artificial General Intelligence (AGI) into biological research and education. This study evaluated the capabilities of leading LLMs, including GPT-4, GPT-3.5, PaLM2, Claude2, and SenseNova, in answering conceptual biology questions.
arxiv
Deciphering neural circuits for Caenorhabditis elegans behavior by computations and perturbations to genome and connectome [PDF]
Current Opinion in Systems Biology 13: 44-51 (2019), 2019 {\it Caenorhabditis elegans} nematode worms are the only animals with the known detailed neural connectivity diagram, well characterized genomics, and relatively simple quantifiable behavioral output. With this in mind, many researchers view this animal as the best candidate for a systems biology approach, where one can integrate molecular and cellular
arxiv +1 more source
Correction: Effects of Darwinian Selection and Mutability on Rate of Broadly Neutralizing Antibody Evolution during HIV-1 Infection. [PDF]
PLoS Computational Biology, 2019 [This corrects the article DOI: 10.1371/journal.pcbi.1004940.].
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
Computational systems biology in disease modeling and control, review and perspectives
npj Systems Biology and Applications, 2022 Omics-based approaches have become increasingly influential in identifying disease mechanisms and drug responses. Considering that diseases and drug responses are co-expressed and regulated in the relevant omics data interactions, the traditional way of ...
Rongting Yue, Abhishek Dutta
semanticscholar +1 more source
Approximation of Intractable Likelihood Functions in Systems Biology via Normalizing Flows [PDF]
arXiv, 2023 Systems biology relies on mathematical models that often involve complex and intractable likelihood functions, posing challenges for efficient inference and model selection. Generative models, such as normalizing flows, have shown remarkable ability in approximating complex distributions in various domains. However, their application in systems biology
arxiv
Correction: Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models. [PDF]
PLoS Computational Biology, 2019 [This corrects the article DOI: 10.1371/journal.pcbi.1006211.].
PLOS Computational Biology Staff
doaj +1 more source
Population Ecology, EarlyView.In this study, we compared three methods for kinship identification using different algorithms in samples of wild Pacific bluefin tuna and generated genotyping data. The three methods resulted in different numbers of inferred kinship pairs for both generated and actual data. Particularly for the half‐sibling pairs, considerable number of false‐positive
Yohei Tsukahara +5 more
wiley +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
Chaste: a test-driven approach to software development for biological modelling [PDF]
, 2009 Chaste (‘Cancer, heart and soft-tissue environment’) is a software library and a set of test suites for computational simulations in the domain of biology.
Bernabeu, M O +18 more
core +1 more source