Browsing by Author "Wu, Yi-Ching"

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Reliability and Validity of Outcome Measures of In-Hospital and At-Home Visits in a Randomized, Double-Blind, Placebo-Controlled Trial for Spinal Muscular Atrophy
(2014-12-01)
Chen, Tai-Heng
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Yang, Yi-Hsin
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Mai, Hui-Hsia
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Liang, Wen-Chen
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Wu, Yi-Ching
We used at-home assessments in a clinical trial to relieve the visit burden for participants. A total of 57 patients with type II or III spinal muscular atrophy were enrolled and 10 of them (7 type II and 3 type III) received at-home assessments. The primary end points were Gross Motor Function Measure, Manual Muscle Test, and serum biomarker. The secondary endpoints were Modified Hammersmith Functional Motor Scale and forced vital capacity. The correlation coefficients and analysis of covariance showed good reliability and validity of all outcome measures. Except for Gross Motor Function Measure and Modified Hammersmith Functional Motor Scale, there were no significant differences in measures between in-hospital and at-home groups (intersubject) or among 3 patients who received both at-home and in-hospital visits (intrasubject). We concluded that at-home assessments could provide sufficient reliability in a controlled trial. This modification could help design a successful clinical trial for spinal muscular atrophy.
Shrinkage regression-based methods for microarray missing value imputation
(2013-12-13)
Wang, Hsiuying
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Chiu, Chia-Chun
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Wu, Yi-Ching
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Wu, Wei-Sheng
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統計學研究所
Background: Missing values commonly occur in the microarray data, which usually contain more than 5% missing values with up to 90% of genes affected. Inaccurate missing value estimation results in reducing the power of downstream microarray data analyses. Many types of methods have been developed to estimate missing values. Among them, the regression-based methods are very popular and have been shown to perform better than the other types of methods in many testing microarray datasets. Results: To further improve the performances of the regression-based methods, we propose shrinkage regression-based methods. Our methods take the advantage of the correlation structure in the microarray data and select similar genes for the target gene by Pearson correlation coefficients. Besides, our methods incorporate the least squares principle, utilize a shrinkage estimation approach to adjust the coefficients of the regression model, and then use the new coefficients to estimate missing values. Simulation results show that the proposed methods provide more accurate missing value estimation in six testing microarray datasets than the existing regression-based methods do. Conclusions: Imputation of missing values is a very important aspect of microarray data analyses because most of the downstream analyses require a complete dataset. Therefore, exploring accurate and efficient methods for estimating missing values has become an essential issue. Since our proposed shrinkage regression-based methods can provide accurate missing value estimation, they are competitive alternatives to the existing regression-based methods.
Solution-Processable Quinoidal Dithioalkylterthiophene-Based Small Molecules Pseudo-Pentathienoacenes via an Intramolecular S center dot center dot center dot S Lock for High-Performance n-Type Organic Field-Effect Transistors
(2020-06-03)
Vegiraju, Sureshraju
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Torimtubun, Alfonsina Abat Amelenan
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Lin, Po-Shen
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Tsai, Hsin-Chia
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Lien, Wei-Chieh
A new organic small-molecule family comprising tetracyanoquinodimethane-substituted quinoidal dithioalky(SR)terthiophenes (DSTQs) (DSTQ-6 (1); SR = SC6H13, DSTQ : 10 (2); SR = SC10H21, DSTQ14 (3); SR = SC10H21) was synthesized and contrasted with a nonthioalkylated analogue (DRTQ14 (4); R = C14H29). The physical, electrochemical, and electrical properties of these new compounds are thoroughly investigated. Optimized geometries obtained from density functional theory calculations and single-crystal X-ray diffraction reveal the planarity of the SR-containing DSTQ core. DSTQs pack in a slipped pi-pi stacked two-dimensional arrangement, with a short intermolecular stacking distance of 3.55 A and short intermolecular S center dot center dot center dot N contacts of 3.56 angstrom. Thin-film morphological analysis by grazing incident X-ray diffraction reveals that all DSTQ molecules are packed in an edge-on fashion on the substrate. The favorable molecular packing, the high core planarity, and very low lowest unoccupied molecular orbital (LUMO) energy level (-4.2 eV) suggest that DSTQs could be electron-transporting semiconductors. Organic field-effect transistors based on solution-sheared DSTQ : 14 exhibit the highest electron mobility of 0.77 cm(2) V-1 s(-1) with good ambient stability, which is the highest value reported to date for such a solution process terthiophene-based small molecular semiconductor. These results demonstrate that the device performance of solution-sheared DSTQs can be improved by side chain engineering.