Chern Yao Wong's Books

I Am Healthy (Set 2)

By: Chern Yao Wong,Joel Neo,Elizabeth Ong,Hannah Loh,Suyi Yang,Bernadine Woo

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I Am Healthy (Set 2)

By: Chern Yao Wong,Joel Neo,Elizabeth Ong,Hannah Loh,Suyi Yang,Bernadine Woo

The I Am Healthy series comprises children's picture books that tackle pressing issues facing children today, as identified by healthcare professionals from the Child Guidance Clinic, Institute of Mental Health, Singapore. Each book draws from the experiences of psychiatrists, psychologists and counsellors who have counselled countless children regarding everything from digital addiction to eating disorders. Using a story-based approach, each book contains a relatable story that will help children understand themselves better, and be able to take practical steps to grow, develop and change. These books can be used by educators in schools, by counsellors and doctors in counselling sessions, and by parents who are helping their children cope with their emotions and struggles.This set includes three titles:

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Page Count

106

Publisher

World Scientific

Published Date

ISBN 10

9811279691

ISBN 13

9789811279690

Looking For Likes: A Story About Social Media Pitfalls

By: Chern Yao Wong,Joel Neo

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Looking For Likes: A Story About Social Media Pitfalls

By: Chern Yao Wong,Joel Neo

Join Friendspace!' Taylor has signed up for his first social media account! Follow Taylor and his family, as he navigates being a new user of social media. Will he be able to use it wisely?The I Am Healthy series comprises children's picture books that tackle pressing issues facing children today, as identified by healthcare professionals from the Child Guidance Clinic, Institute of Mental Health, Singapore. Each book draws from the experiences of psychiatrists, psychologists and counsellors who have counselled countless children regarding everything from digital addiction to eating disorders. Using a story-based approach, each book contains a relatable story that will help children understand themselves better, and be able to take practical steps to grow, develop and change. These books can be used by educators in schools, by counsellors and doctors in counselling sessions, and by parents who are helping their children cope with their emotions and struggles.In this series:

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Publisher

World Scientific

Published Date

ISBN 10

9811277974

ISBN 13

9789811277979

Computational Prediction of Protein Complexes from Protein Interaction Networks

By: Sriganesh Srihari,Chern Han Yong,Limsoon Wong

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Computational Prediction of Protein Complexes from Protein Interaction Networks

By: Sriganesh Srihari,Chern Han Yong,Limsoon Wong

Complexes of physically interacting proteins constitute fundamental functional units that drive almost all biological processes within cells. A faithful reconstruction of the entire set of protein complexes (the "complexosome") is therefore important not only to understand the composition of complexes but also the higher level functional organization within cells. Advances over the last several years, particularly through the use of high-throughput proteomics techniques, have made it possible to map substantial fractions of protein interactions (the "interactomes") from model organisms including Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions. In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.

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Age

Page Count

297

Publisher

Morgan & Claypool

Published Date

ISBN 10

1970001534

ISBN 13

9781970001532

Book's by Chern Yao Wong

I Am Healthy (Set 2)

I Am Healthy (Set 2)

Looking For Likes: A Story About Social Media Pitfalls

Looking For Likes: A Story About Social Media Pitfalls

Computational Prediction of Protein Complexes from Protein Interaction Networks

Computational Prediction of Protein Complexes from Protein Interaction Networks

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