A primer to frequent itemset mining for bioinformatics
Over the past two decades, pattern mining techniques have become an integral part of many
bioinformatics solutions. Frequent itemset mining is a popular group of pattern mining …
bioinformatics solutions. Frequent itemset mining is a popular group of pattern mining …
Advances in cloning, structural and bioremediation aspects of nitrile hydratases
K Supreetha, SN Rao, D Srividya, HS Anil… - Molecular biology …, 2019 - Springer
Nitrile hydratase (NHase) is a prominent enzyme in many microorganisms for its nitrile
metabolism. The potentiality in the bioconversion of nitriles to its high-value amides has …
metabolism. The potentiality in the bioconversion of nitriles to its high-value amides has …
[图书][B] Handbook of bioinspired algorithms and applications
This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …
the development of solutions to problems that arise in diverse problem domains. It provides …
Overexpression and characterization of two types of nitrile hydratases from Rhodococcus rhodochrous J1
Y Lan, X Zhang, Z Liu, L Zhou, R Shen, X Zhong… - PLoS …, 2017 - journals.plos.org
Nitrile hydratase (NHase) from Rhodococcus rhodochrous J1 is widely used for industrial
production of acrylamide and nicotinamide. However, the two types of NHases (L-NHase …
production of acrylamide and nicotinamide. However, the two types of NHases (L-NHase …
[图书][B] A study of holistic thinking in an agricultural leadership development program using asynchronous computer conferencing.
D Morrison - 2005 - library-archives.canada.ca
The primary goal of this qualitative case study was to investigate the nature of holistic
thinking in the context of an asynchronous computer conference. Holistic thinking was …
thinking in the context of an asynchronous computer conference. Holistic thinking was …
Applications of pattern discovery using sequential data mining
Sequential pattern mining methods have been found to be applicable in a large number of
domains. Sequential data is omnipresent. Sequential pattern mining methods have been …
domains. Sequential data is omnipresent. Sequential pattern mining methods have been …
Promoter sequences prediction using relational association rule mining
G Czibula, MI Bocicor… - Evolutionary …, 2012 - journals.sagepub.com
In this paper we are approaching, from a computational perspective, the problem of
promoter sequences prediction, an important problem within the field of bioinformatics. As …
promoter sequences prediction, an important problem within the field of bioinformatics. As …
Exploiting semantics for improving clinical information retrieval
A Babashzadeh, J Huang, M Daoud - Proceedings of the 36th …, 2013 - dl.acm.org
Clinical information retrieval (IR) presents several challenges including terminology
mismatch and granularity mismatch. One of the main objectives in clinical IR is to fill the …
mismatch and granularity mismatch. One of the main objectives in clinical IR is to fill the …
[图书][B] Pattern discovery using sequence data mining: applications and studies
A huge amount of data is collected every day in the form of sequences. These sequential
data are valuable sources of information not only to search for a particular value or event at …
data are valuable sources of information not only to search for a particular value or event at …
Using semantic-based association rule mining for improving clinical text retrieval
A Babashzadeh, M Daoud, J Huang - … , HIS 2013, London, UK, March 25 …, 2013 - Springer
Association rule (AR) mining has been widely used on the electronic medical records (EMR)
for discovering hidden knowledge and medical patterns and also for improving the …
for discovering hidden knowledge and medical patterns and also for improving the …