PeerJ Author & Reviewer

715 Points

Contributions by role

Contributions by subject area

Tsung Fei Khang

PeerJ Author & Reviewer

Summary

I am a statistician with an interest in the development and application of statistical methods in the life sciences. My research interest broadly covers the area of data science, bioinformatics, ecology, medical statistics, and machine learning.

Bioinformatics Data Mining & Machine Learning Statistics

Past or current institution affiliations

Universiti Malaya

University of Malaya

Work details

Associate professor

University of Malaya

Institute of Mathematical Sciences

I am currently associate professor of statistics at the Institute of Mathematical Sciences, Universiti Malaya in Malaysia.

Identities

@TF_Khang

Websites

Google Scholar

PeerJ Contributions

September 29, 2023

clrDV: a differential variability test for RNA-Seq data based on the skew-normal distribution

Hongxiang Li, Tsung Fei Khang

https://doi.org/10.7717/peerj.16126 PubMed 37790621

March 17, 2023

Size-age population structure of an endangered and anthropogenically introgressed northern Adriatic population of marble trout (Salmo marmoratus Cuv.): insights for its conservation and sustainable exploitation

Gianluca Polgar, Mattia Iaia, Paolo Sala, Tsung Fei Khang, Silvia Galafassi, Silvia Zaupa, Pietro Volta

https://doi.org/10.7717/peerj.14991 PubMed 36949764

September 9, 2021

On the classification of simple and complex biological images using Krawtchouk moments and Generalized pseudo-Zernike moments: a case study with fly wing images and breast cancer mammograms

Jia Yin Goh, Tsung Fei Khang

https://doi.org/10.7717/peerj-cs.698

February 4, 2016

Monogenean anchor morphometry: systematic value, phylogenetic signal, and evolution

Tsung Fei Khang, Oi Yoon Michelle Soo, Wooi Boon Tan, Lee Hong Susan Lim

https://doi.org/10.7717/peerj.1668 PubMed 26966649

October 29, 2015

Getting the most out of RNA-seq data analysis

Tsung Fei Khang, Ching Yee Lau

https://doi.org/10.7717/peerj.1360 PubMed 26539333

August 4, 2015 - Version: 1

Monogenean anchor morphometry: systematic value, phylogenetic signal, and evolution

Tsung Fei Khang, Oi Yoon Michelle Soo, Wooi Boon Tan, Lee Hong Susan Lim

https://doi.org/10.7287/peerj.preprints.1283v1

June 26, 2015 - Version: 1

Getting the most out of RNA-seq data analysis

Tsung Fei Khang, Ching Yee Lau

https://doi.org/10.7287/peerj.preprints.1198v1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

February 27, 2023

PrismEXP: gene annotation prediction from stratified gene-gene co-expression matrices

Alexander Lachmann, Kaeli A. Rizzo, Alon Bartal, Minji Jeon, Daniel J. B. Clarke, Avi Ma’ayan

https://doi.org/10.7717/peerj.14927 PubMed 36874981

June 27, 2017

Differential gene expression analysis by RNA-seq reveals the importance of actin cytoskeletal proteins in erythroleukemia cells

Vanessa Fernández-Calleja, Pablo Hernández, Jorge B. Schvartzman, Mario García de Lacoba, Dora B. Krimer

https://doi.org/10.7717/peerj.3432 PubMed 28663935

2 Questions

monogeneaGM version 1.1, and updates to two R scripts

about Monogenean anchor morphometry: systematic value, phylogenetic signal, and evolution

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about Monogenean anchor morphometry: systematic value, phylogenetic signal, and evolution