Results 51 to 60 of about 7,082,722 (377)

A machine learning method for the identification and characterization of novel COVID-19 drug targets

open access: yesScientific Reports, 2023
In addition to vaccines, the World Health Organization sees novel medications as an urgent matter to fight the ongoing COVID-19 pandemic. One possible strategy is to identify target proteins, for which a perturbation by an existing compound is likely to ...
Bruce Schultz   +8 more
doaj   +1 more source

The Elements of Flexibility for Task-Performing Systems

open access: yesIEEE Access, 2023
What makes living systems flexible so that they can react quickly and adapt easily to changing environments? This question has not only engaged biologists for decades but is also of great interest to computer scientists and engineers who seek inspiration
Sebastian Mayer   +2 more
doaj   +1 more source

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

open access: yesMolecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever   +1 more
wiley   +1 more source

Quantifying mechanisms in neurodegenerative diseases (NDDs) using candidate mechanism perturbation amplitude (CMPA) algorithm

open access: yesBMC Bioinformatics, 2019
Background Literature derived knowledge assemblies have been used as an effective way of representing biological phenomenon and understanding disease etiology in systems biology.
Reagon Karki   +3 more
doaj   +1 more source

Analysis of an algorithm catching elephants on the Internet [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2008
The paper deals with the problem of catching the elephants in the Internet traffic. The aim is to investigate an algorithm proposed by Azzana based on a multistage Bloom filter, with a refreshment mechanism (called $\textit{shift}$ in the present paper),
Yousra Chabchoub   +3 more
doaj   +1 more source

Analysis of Algorithms and Partial Algorithms [PDF]

open access: yes, 2016
We present an alternative methodology for the analysis of algorithms, based on the concept of expected discounted reward. This methodology naturally handles algorithms that do not always terminate, so it can (theoretically) be used with partial algorithms for undecidable problems, such as those found in artificial general intelligence (AGI) and ...
openaire   +3 more sources

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

open access: yesMolecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi   +3 more
wiley   +1 more source

Primary extranodal diffuse large B‐cell lymphoma: Molecular features, treatment, and prognosis

open access: yesAging and Cancer, Volume 3, Issue 3-4, Page 133-146, September-December 2022., 2022
One‐third of DLBCL arises from extranodal organs and is challenging to manage. Molecular features are critical to elucidate the differences in clinical features, predict the disease prognosis, and improve effective targeted therapeutic strategies. Abstract Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin's lymphoma and ...
Si‐Yuan Chen   +3 more
wiley   +1 more source

Network Flows: Theory, Algorithms, and Applications

open access: yes, 1993
A comprehensive introduction to network flows that brings together the classic and the contemporary aspects of the field, and provides an integrative view of theory, algorithms, and applications.
R. Ahuja, T. Magnanti, J. Orlin
semanticscholar   +1 more source

Clinical applications of next‐generation sequencing‐based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression

open access: yesMolecular Oncology, EarlyView.
Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker   +14 more
wiley   +1 more source

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