Results 161 to 170 of about 4,681,443 (397)

Computational biology in the 21st century

Communications of the ACM, 2016
Algorithmic advances take advantage of the structure of massive biological data landscape.
B. Berger, Noah M. Daniels
semanticscholar   +1 more source

On subcellular distribution of the zinc finger 469 protein (ZNF469) and observed discrepancy in the localization of endogenous and overexpressed ZNF469

FEBS Open Bio, EarlyView.
ZNF469 regulates the expression of genes encoding extracellular matrix proteins. Endogenous ZNF469 is predominantly cytoplasmic, while in transfected cells, it forms aggregates reminiscent of biomolecular condensates, located mainly in the nucleus. These condensates exhibit overlapping staining with proteasomes and are also associated with the mitotic ...
Anne Elisabeth Christensen Mellgren, Ileana Cristea, Thomas Stevenson, Endy Spriet, Per Morten Knappskog, Stig Ove Bøe, Harald Kranz, Sushma N. Grellscheid, Eyvind Rødahl   +8 more
wiley   +1 more source

A Distribution Function Arising in Computational Biology

, 2000
Karlin and Altschul in their statistical analysis for multiple high-scoring segments in molecular sequences introduced a distribution function which gives the probability there are at least r distinct and consistently ordered segment pairs all with score
Tracy, Craig A., Widom, Harold
core   +1 more source

An approach to evolving cell signaling networks in silico [PDF]

, 2006
Cell Signaling Networks(CSN) are complex bio-chemical networks which, through evolution, have become highly efficient for governing critical control processes such as immunological responses, cell cycle control or homeostasis.
Decraene, James, Kelly, Ciarán, McMullin, Barry, Mitchell, George G.   +3 more
core  

Constructing a Tree from Homeomorphic Subtrees, with Applications to Computational Evolutionary Biology [PDF]

, 1999
Monika Henzinger, Valerie King, Tandy Warnow   +2 more
openalex   +1 more source

Modelling of a double‐scattering proton therapy nozzle using the FLUKA Monte Carlo code and analysis of linear energy transfer in patients treated for prostate cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The dose‐averaged linear energy transfer (LETD) in proton therapy (PT) has in pre‐clinical studies been linked to the relative biological effectiveness (RBE) of protons. Until recently, the most common PT delivery method in prostate cancer has been double‐scattered PT, with LETD only available through dedicated Monte Carlo (MC ...
Rasmus Klitgaard, Lars Fredrik Fjæra, Camilla Hanquist Stokkevåg, Perry Johnson, Mark Artz, Nancy Price Mendenhall, Curtis Bryant, Ludvig Paul Muren   +7 more
wiley   +1 more source

Book of abstracts: Scientific Opening of The Microsoft Reasearch Centre for Computational and Systems Biology, Trento, Italy, April 3-5, 2006 [PDF]

, 2006
s of the talks of the Scientific Opening of the Microsoft Research - University of Trento Centre for Computational and Systems Biology held in Trento on April 3-5 ...
Baralla, Angela, Cappello, Igor, Cavaliere, Matteo, Csikasz-Nagy, Attila, Hillston, Jane, Montanari, Ugo, Mura, Ivan, Priami, Corrado, Walker, David   +8 more
core  

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen, Yanyan Cheng, Lijun Chen, Banghua Yang   +3 more
wiley   +1 more source

DNA meets the SVD [PDF]

, 2008
This paper introduces an important area of computational cell biology where complex, publicly available genomic data is being examined by linear algebra methods, with the aim of revealing biological and medical ...
Grindrod, Peter, Higham, Desmond J., Kalna, Gabriela, Spence, Alistair, Stoyanov, Zhivko, Vass, J. Keith   +5 more
core   +1 more source

Algorithmic complexity in computational biology: basics, challenges and limitations [PDF]

arXiv, 2018
Computational problems can be classified according to their algorithmic complexity, which is defined based on how the resources needed to solve the problem, e.g. the execution time, scale with the problem size. Many problems in computational biology are computationally infeasible in the sense that the exhaustive search for the optimal solution is ...
arxiv