Results 111 to 120 of about 1,095,657 (311)

Taking "Don't Knows" as Valid Responses: A Complete Random Imputation of Missing Data [PDF]

open access: yes
Incomplete data is a common problem of survey research. Recent work on multiple imputation techniques has increased analysts' awareness of the biasing effects of missing data and has also provided a convenient solution.
Martin Kroh
core  

Mass spectrometry based identification of AMP‐O‐Tris generated by Thermococcus onnurineus Cas10

open access: yesFEBS Open Bio, EarlyView.
Isolated Thermococcus onnurineus Cas10 generates the noncanonical ATP‐derived product AMP‐O‐Tris while in Tris‐containing buffer as identified via mass spectrometry, revealing relaxed nucleophile selectivity under isolated conditions. These findings suggest that multiprotein Csm complex assembly restricts Cas10 reactivity toward canonical cyclic ...
Su‐Jin Lee   +6 more
wiley   +1 more source

Asset Pricing with Incomplete Information In a Discrete Time Pure Exchange Economy [PDF]

open access: yes
We study the consumption based asset pricing model in a discrete time pure exchange setting with incomplete information. Incomplete information leads to a filtering problem which agents solve using the Kalman filter.
Prasad Bidarkota, Brice Dupoyet
core  

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

open access: yesFEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani   +6 more
wiley   +1 more source

Finding Informative Skyline Results Over Incomplete Data With Threshold-Based Bucket Skyline Algorithm

open access: yesIEEE Access
Skyline queries which return objects that are not dominated by any other objects, have been integrated into various real-world database applications. However, the presence of incomplete data in databases, may lead into cyclic dominance relation that none
Zhang Xiaowei   +4 more
doaj   +1 more source

Completing incomplete cohort fertility schedules [PDF]

open access: yes
This paper develops a simple age-period-cohort framework in completing incomplete cohort fertility schedules, and makes full use of 1917--2005 U.S. data to obtain robust outcomes. Empirically, we indicate that the period effect is the key to transforming
Pao-Chih Roger Cheng, Eric S. Lin
core  

Identifying transcription factors controlling the basal expression of human MRP4 highlights a substantial role for Sp1

open access: yesFEBS Open Bio, EarlyView.
The MRP4 transporter exports several drugs and signaling molecules. Here, we identified key promoter elements regulating basal MRP4 expression. Using reporter assays, we defined a conserved region with essential Sp1 and contributory Ets sites, which controlled basal MRP4 expression.
Debora Singer   +7 more
wiley   +1 more source

Incomplete pairwise comparison and consistency optimization [PDF]

open access: yes
This paper proposes a new method for calculating the missing elements of an incomplete matrix of pairwise comparison values for a decision problem. The matrix is completed by minimizing a measure of global inconsistency, thus obtaining a matrix which is ...
Silvio Giove, Michele Fedrizzi
core  

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

open access: yesFEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee   +3 more
wiley   +1 more source

Data visualization for incomplete data

open access: yes, 2023
Missing data are ubiquitous in the social and human data sciences. Computational pipelines that accommodate incomplete data require exploration and evaluation of the missingness. The R package ggmice enables data analysts to visualize incomplete and imputed data.
openaire   +2 more sources

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