Results 51 to 60 of about 1,708,096 (323)

Representations of Infinite Tree Sets [PDF]

open access: yesOrder, 2019
Tree sets are abstract structures that can be used to model various tree-shaped objects in combinatorics. Finite tree sets can be represented by finite graph-theoretical trees. We extend this representation theory to infinite tree sets.
J. P. Gollin, Jakob Kneip
semanticscholar   +1 more source

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

open access: yesFEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

Reinforcement Learning via AIXI Approximation

open access: yes, 2010
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian optimality notion for general reinforcement learning agents.
Hutter, Marcus   +3 more
core   +2 more sources

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

open access: yesMolecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker   +16 more
wiley   +1 more source

Building trees by juggling information and following rules: an expert interview study on tree-building and phylogenetic inference

open access: yesEvolution: Education and Outreach
Tree-thinking is a fundamental skill set for understanding evolutionary theory and, thus, part of biological and scientific literacy. Research on this topic is mostly directed towards tree-reading—the umbrella-term for all skills enabling a person to ...
Steven Tyrrell, Philipp Schmiemann
doaj   +1 more source

Cadabra: reference guide and tutorial [PDF]

open access: yes, 2006
Cadabra is a computer algebra system for the manipulation of tensorial mathematical expressions such as they occur in “field theory problems”. It is aimed at, but not necessarily restricted to, high-energy physicists.
Peeters, K.
core   +1 more source

The radial spanning tree of a Poisson point process

open access: yes, 2007
We analyze a class of spatial random spanning trees built on a realization of a homogeneous Poisson point process of the plane. This tree has a simple radial structure with the origin as its root.
Baccelli, Francois, Bordenave, Charles
core   +1 more source

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

open access: yesMolecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra   +10 more
wiley   +1 more source

Unbalanced Data Classification Based on Hesitant Fuzzy Decision Tree [PDF]

open access: yesJisuanji gongcheng, 2019
In order to optimize the classification effect of unbalanced data,an improved fuzzy decision tree algorithm is proposed combining the hesitant fuzzy set theory and the decision tree algorithm.The unbalanced data is oversampled by the SMOTE algorithm,the ...
ZHANG Xu, ZHOU Xinzhi, ZHAO Chengping, SHAO Lun
doaj   +1 more source

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