2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications.

about

iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC.

P2860

Q55513264-EF37FF1A-6FC2-45E1-8D22-4B6EB92018F5

P2860

2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications.

Item

http://www.wikidata.org/entity/Q42378453

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

2017年论文

@zh

2017年论文

@zh-cn

name

2L-PCA: a two-level principal ...... g design and its applications.

@en

2L-PCA: a two-level principal ...... g design and its applications.

@nl

type

Item

label

2L-PCA: a two-level principal ...... g design and its applications.

@en

2L-PCA: a two-level principal ...... g design and its applications.

@nl

prefLabel

2L-PCA: a two-level principal ...... g design and its applications.

@en

2L-PCA: a two-level principal ...... g design and its applications.

@nl

P1476

2L-PCA: a two-level principal ...... g design and its applications.

@en

P2093

Neng-Zhong Xie

http://www.w3.org/2001/XMLSchema#string

Qi-Shi Du

http://www.w3.org/2001/XMLSchema#string

Qing-Yan Wang

http://www.w3.org/2001/XMLSchema#string

Ri-Bo Huang

http://www.w3.org/2001/XMLSchema#string

Shu-Qing Wang

http://www.w3.org/2001/XMLSchema#string

P2860

Frequency of HLA-B alleles in a Caucasoid population determined by a two-stage PCR-SSOP typing strategy

Conformational parameters for amino acids in helical, beta-sheet, and random coil regions calculated from proteins

Recent progress in protein subcellular location prediction

HLA-DPB1 DNA polymorphism in the Swiss population: linkage disequilibrium with other HLA loci and population genetic affinities

iCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channels

iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins

Comparative molecular similarity index analysis (CoMSIA) to study hydrogen-bonding properties and to score combinatorial libraries.

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC.

Evaluation of MHC class I peptide binding prediction servers: applications for vaccine research

Parallel GPU implementation of iterative PCA algorithms.

P304

70564-70578

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.18632/ONCOTARGET.19757

http://www.w3.org/2001/XMLSchema#string

P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Kuo-Chen Chou

P577

2017-08-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29050302

http://www.w3.org/2001/XMLSchema#string

P932

5642577

http://www.w3.org/2001/XMLSchema#string

2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications.

about

P2860

P2860

2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932