Tzu-Ming Chu

Works (3)

Updated: July 5th, 2023 16:00

2004 article

Comparison of Li–Wong and loglinear mixed models for the statistical analysis of oligonucleotide arrays

Chu, T.-M., Weir, B. S., & Wolfinger, R. D. (2004, January 22). Bioinformatics.

By: T. Chu n, B. Weir n & R. Wolfinger n

MeSH headings : Algorithms; Computer Simulation; DNA / chemistry; DNA / genetics; Gene Expression Profiling / methods; Linear Models; Models, Genetic; Models, Statistical; Oligonucleotide Array Sequence Analysis / methods; Reproducibility of Results; Sensitivity and Specificity
topics (OpenAlex): Gene expression and cancer classification; Genomics and Chromatin Dynamics; Molecular Biology Techniques and Applications
TL;DR: An empirical comparison of the two analysis-of-variance-style mixed models for probe-level, oligonucleotide array data based on a multiplicative parametrization is provided, and finds the models perform quite similarly across most genes, but with some interesting and important distinctions. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2004 article

Variation in transcript abundance during somatic embryogenesis in gymnosperms

Stasolla, C., Bozhkov, P. V., Chu, T.-M., Zyl, L., Egertsdotter, U., Suarez, M. F., … Sederoff, R. R. (2004, October 1). Tree Physiology.

By: C. Stasolla*, P. Bozhkov *, T. Chu*, L. Zyl n, U. Egertsdotter, M. Suarez *, D. Craig n, R. Wolfinger*, S. Arnold*, R. Sederoff n

author keywords: embryo development; gene expression; hybridization; microarray; Picea abies; Pinus taeda
MeSH headings : Cycadopsida / genetics; Cycadopsida / physiology; Gene Expression Regulation, Plant / physiology; Genetic Variation / physiology; Oligonucleotide Array Sequence Analysis; Picea / genetics; Picea / physiology; Seeds / genetics; Seeds / physiology; Transcription, Genetic / physiology; Trees / genetics; Trees / physiology
topics (OpenAlex): Plant tissue culture and regeneration; Plant Molecular Biology Research; Plant Reproductive Biology
TL;DR: Comparison of transcript levels between successive stages of embryogenesis allowed us to identify several genes that showed unique expression responses during normal development, including proteins involved in detoxification processes, methionine synthesis and utilization, and carbohydrate metabolism. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2002 article

A systematic statistical linear modeling approach to oligonucleotide array experiments

Chu, T.-M., Weir, B., & Wolfinger, R. (2002, March 1). Mathematical Biosciences.

By: T. Chu n, B. Weir n & R. Wolfinger n

author keywords: microarray; mixed model; split plot; probe
MeSH headings : Cells, Cultured; Humans; Models, Statistical; Oligonucleotide Array Sequence Analysis / methods; Radiation, Ionizing; Transcription, Genetic
topics (OpenAlex): Gene expression and cancer classification; Genomics and Chromatin Dynamics; Molecular Biology Techniques and Applications
TL;DR: The approach employs classical linear mixed models and operates on a gene-by-gene basis and simultaneously considers the data across all chips in an experiment, which can accommodate complex experiments involving many kinds of treatments and test for their effects at the probe level. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2026) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.