Results 81 to 90 of about 49,053 (278)

A linear memory algorithm for Baum-Welch training

BMC Bioinformatics, 2005
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. It can be employed as long as a training set of annotated sequences is known,
Meyer Irmtraud M, Miklós István
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Computing second-order-accurate solutions for rational expectation models using linear solution methods [PDF]

, 2007
This paper shows how to compute a second-order accurate solution of a non-linear rational expectation model using algorithms developed for the solution of linear rational expectation models.
Sutherland, Alan, Alan Sutherland, Giovanni Lombardo, Lombardo, Giovanni   +3 more
core   +1 more source

Central Limit Theorem for m-dependent random variables under sub-linear expectations

, 2023
15pages
Gu, Wang-Yun, Zhang, Li-Xin
openaire   +2 more sources

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source

High-order coupled cluster method calculations of spontaneous symmetry breaking in the spin-half one-dimensional J₁-J₂ model

Condensed Matter Physics, 2009
In this article we present new formalism for high-order coupled cluster method (CCM) calculations for "generalized" ground-state expectation values and the excited states of quantum magnetic systems with spin quantum number s ≥ 1/2. We use high-order CCM
D.J.J. Farnell
doaj   +1 more source

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

Molecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation [PDF]

, 2010
The ability to anticipate forthcoming events has clear evolutionary advantages, and predictive successes or failures often entail significant psychological and physiological consequences.
Pearce, Marcus T., Wiggins, Geraint, Bhattacharya, Joydeep, Kapasi, Selina, Herrojo Ruiz, Maria   +4 more
core   +1 more source

Parameter Estimation for High-Speed Train Switching Models Using Hierarchical Joint Filtering and Expectation Maximization

IEEE Access
Accurate dynamics modeling is essential for the Automatic Train Operation (ATO) of high-speed railways. To address the parameter identification problem in high-speed train systems with multiple operating regimes and unobservable states, this paper ...
Junwei Liu
doaj   +1 more source

On the combinatorics of sparsification

Algorithms for Molecular Biology, 2012
Background We study the sparsification of dynamic programming based on folding algorithms of RNA structures. Sparsification is a method that improves significantly the computation of minimum free energy (mfe) RNA structures.
Huang Fenix WD, Reidys Christian M
doaj   +1 more source