PMID- 26547977
OWN - NLM
STAT- MEDLINE
DCOM- 20151217
LR  - 20191113
IS  - 1748-5673 (Print)
IS  - 1748-5673 (Linking)
VI  - 13
IP  - 3
DP  - 2015
TI  - Sequence based human leukocyte antigen gene prediction using informative 
      physicochemical properties.
PG  - 211-24
AB  - Prediction of different classes within the human leukocyte antigen (HLA) gene 
      family can provide insight into the human immune system and its response to viral 
      pathogens. Therefore, it is desirable to develop an efficient and easily 
      interpretable method for predicting HLA gene class compared to existing methods. 
      We investigated the HLA gene prediction problem as follows: (a) establishing a 
      dataset (HLA262) such that the sequence identity of the complete HLA dataset was 
      reduced to 30%; (b) proposing a feature set of informative physicochemical 
      properties that cooperate with SVM (named HLAPred) to achieve high accuracy and 
      sensitivity (90.04% and 82.99%, respectively) compared with existing methods; and 
      (c) analysing the informative physicochemical properties to understand the 
      physicochemical properties and molecular mechanisms of the HLA gene family.
FAU - Shoombuatong, Watshara
AU  - Shoombuatong W
FAU - Mekha, Panuwat
AU  - Mekha P
FAU - Chaijaruwanich, Jeerayut
AU  - Chaijaruwanich J
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - Switzerland
TA  - Int J Data Min Bioinform
JT  - International journal of data mining and bioinformatics
JID - 101279469
RN  - 0 (HLA-A Antigens)
SB  - IM
MH  - Algorithms
MH  - Amino Acid Sequence
MH  - Data Mining/methods
MH  - *Databases, Protein
MH  - HLA-A Antigens/*chemistry/*immunology
MH  - Humans
MH  - Leukocytes/chemistry/*immunology
MH  - Molecular Sequence Data
MH  - Pattern Recognition, Automated/methods
MH  - Sequence Analysis, Protein/*methods
MH  - Structure-Activity Relationship
MH  - *Support Vector Machine
EDAT- 2015/11/10 06:00
MHDA- 2015/12/19 06:00
CRDT- 2015/11/10 06:00
PHST- 2015/11/10 06:00 [entrez]
PHST- 2015/11/10 06:00 [pubmed]
PHST- 2015/12/19 06:00 [medline]
AID - 10.1504/ijdmb.2015.072072 [doi]
PST - ppublish
SO  - Int J Data Min Bioinform. 2015;13(3):211-24. doi: 10.1504/ijdmb.2015.072072.