Results 221 to 230 of about 8,935,685 (345)

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Some geometric properties of a new sequence space

, 2013
In this paper, we introduce a new sequence space denoted by m (?, p, u, ?ru) and give some properties of this sequence space. Also, we examine Banach-Saks property of type p for this space. Finally, we find Gurarii's modulus of convexity and so show that
Cinar M., Karakaş, M., Et, Mikail
core  

Design of proteins by parallel tempering in the sequence space. [PDF]

Protein Sci
Kalani P, Spiwok V.
europepmc   +1 more source

Multiobjective heuristic algorithm for <i>de novo</i> protein design in a quantified continuous sequence space. [PDF]

Comput Struct Biotechnol J, 2021
Li RX, Zhang NN, Wu B, OuYang B, Shen HB.   +4 more
europepmc   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Connecting chemical and protein sequence space to predict biocatalytic reactions. [PDF]

Nature
Paton AE, Boiko DA, Perkins JC, Cemalovic NI, Reschützegger T, Gomes G, Narayan ARH.   +6 more
europepmc   +1 more source

A novel type of colistin resistance genes selected from random sequence space. [PDF]

PLoS Genet, 2021
Knopp M, Babina AM, Gudmundsdóttir JS, Douglass MV, Trent MS, Andersson DI.   +5 more
europepmc   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Using structured libraries, selection, and machine learning to rapidly explore the sequence space of a fluorescent deoxyribozyme. [PDF]

Nucleic Acids Res
Kurfürst J, Volek M, Samusevich R, Pluskal T, Curtis EA.   +4 more
europepmc   +1 more source

Exploring sequence space in search of functional enzymes using microfluidic droplets.

Current Opinion in Chemical Biology, 2017
Philip Mair, Fabrice Gielen, F. Hollfelder   +2 more
semanticscholar   +1 more source