Molecular subtyping of cancer: current status and moving toward clinical applications
Cancer is a collection of genetic diseases, with large phenotypic differences and genetic
heterogeneity between different types of cancers and even within the same cancer type. Recent …
heterogeneity between different types of cancers and even within the same cancer type. Recent …
Gamer's health guide: optimizing performance, recognizing hazards, and promoting wellness in esports
… DK has the following disclosures, none of which pertain to the topic of this investigation:
Hydrocision: paid consultant; AKE, MKN, JC, and MK have nothing to disclose. No funding was …
Hydrocision: paid consultant; AKE, MKN, JC, and MK have nothing to disclose. No funding was …
Whole-genome sequencing and comprehensive molecular profiling identify new driver mutations in gastric cancer
…, SL Ho, AKW Chan, JLK Man, V Foglizzo, MK Ng… - Nature …, 2014 - nature.com
Gastric cancer is a heterogeneous disease with diverse molecular and histological subtypes.
We performed whole-genome sequencing in 100 tumor-normal pairs, along with DNA copy …
We performed whole-genome sequencing in 100 tumor-normal pairs, along with DNA copy …
Hermitian and skew-Hermitian splitting methods for non-Hermitian positive definite linear systems
ZZ Bai, GH Golub, MK Ng - SIAM Journal on Matrix Analysis and Applications, 2003 - SIAM
We study efficient iterative methods for the large sparse non-Hermitian positive definite system
of linear equations based on the Hermitian and skew-Hermitian splitting of the coefficient …
of linear equations based on the Hermitian and skew-Hermitian splitting of the coefficient …
Automated variable weighting in k-means type clustering
JZ Huang, MK Ng, H Rong, Z Li - IEEE transactions on pattern …, 2005 - ieeexplore.ieee.org
This paper proposes a k-means type clustering algorithm that can automatically calculate
variable weights. A new step is introduced to the k-means clustering process to iteratively …
variable weights. A new step is introduced to the k-means clustering process to iteratively …
Conjugate gradient methods for Toeplitz systems
… Chan and Ng used the Toeplitz matrix A generated by 1/f to approximate the inverse of the …
Chan and Ng [46] thus have derived families of Toeplitz preconditioners p<s by using different …
Chan and Ng [46] thus have derived families of Toeplitz preconditioners p<s by using different …
An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data
… MK Ng’s research was suppoted in part by RGC grants 7046/03P, 7035/04P, 7035/05P,
7117/05E, and HKBU FRGs. This research was also supported by China National 863 project …
7117/05E, and HKBU FRGs. This research was also supported by China National 863 project …
Effectiveness of health promotion programmes for truck drivers: a systematic review
MK Ng, B Yousuf, PL Bigelow… - Health Education …, 2015 - journals.sagepub.com
Objective: To review the characteristics of effective health promotion interventions for
reducing chronic diseases and their risk factors in truck drivers. Methods: MEDLINE (PubMed), …
reducing chronic diseases and their risk factors in truck drivers. Methods: MEDLINE (PubMed), …
Markov chains
The aim of this book is to outline the recent development of Markov chain models and their
applications in queueing systems, manufacturing systems, remanufacturing systems, …
applications in queueing systems, manufacturing systems, remanufacturing systems, …
A fuzzy k-modes algorithm for clustering categorical data
Z Huang, MK Ng - IEEE transactions on Fuzzy Systems, 1999 - ieeexplore.ieee.org
… MK Ng is with the Department of Mathematics, The University … HUANG AND NG: FUZZY
k-MODES ALGORITHM FOR … Ng and J. Han, “Efficient and effective clustering methods for …
k-MODES ALGORITHM FOR … Ng and J. Han, “Efficient and effective clustering methods for …