Results 141 to 150 of about 190,317 (312)

When Dihedral Angles Mask Denticity in Molecular Conductance

open access: yesChemPhysChem, EarlyView.
This study tests whether higher molecule–electrode denticity increases conductance in single‐molecule junctions. Using nonequilibrium Green's function technique in conjunction with density functional theory simulations and mechanically controlled break‐junction experiments on a tetradentate N‐heterohexacene, it is found that conductance depends mainly ...
Kevin Batzinger   +8 more
wiley   +1 more source

Population Pharmacokinetics and Exposure–Response Analyses of Momelotinib, Its Active Metabolite (M21), and Total Active Moiety in Myelofibrosis

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Momelotinib, a Janus kinase (JAK) 1/JAK2/activin A receptor type 1 inhibitor, is approved for the treatment of myelofibrosis with anemia. These analyses characterized the population pharmacokinetics of momelotinib and its active metabolite M21 following administration of the commercial tablet formulation in patients with myelofibrosis from phase II/III
Benjamin Rich   +5 more
wiley   +1 more source

Unbiased inference for discretely observed hidden Markov model\n diffusions [PDF]

open access: green, 2018
Neil K. Chada   +4 more
openalex   +1 more source

Straight to Phase III: Model‐Informed Approach Speeds Depemokimab Clinical Development in Interleukin‐5‐Driven Diseases

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Straight to Phase III: Model‐informed approach speeds depemokimab clinical development in interleukin‐5‐driven diseases. IL‐5, a key mediator of type 2 inflammation, underlies various diseases, including severe asthma, CRSwNP, EGPA, and HES. Reduction in blood eosinophil count (BEC), a biomarker of IL‐5 activity, is commonly used to evaluate the ...
Chiara Zecchin   +6 more
wiley   +1 more source

The hidden Markov model and its applications in bioinformatics analysis. [PDF]

open access: yesGenes Dis
Ma Y   +17 more
europepmc   +1 more source

TimeFlow 2: An Unsupervised Cell Lineage Detection Method for Flow Cytometry Data

open access: yesCytometry Part A, EarlyView.
TimeFlow 2 is a new method for cell lineage inference in flow cytometry data. It constructs cell state paths along pseudotime and aggregates them into biologically informative groups. It allows tracking of cytometry markers within each automatically inferred lineage.
Margarita Liarou   +2 more
wiley   +1 more source

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