Recombination spot identification Based on gapped k-mers.
about
Prediction of G Protein-Coupled Receptors with SVM-Prot Features and Random ForestPretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy.In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT ApproachesDNABP: Identification of DNA-Binding Proteins Based on Feature Selection Using a Random Forest and Predicting Binding Residues.Identification of apolipoprotein using feature selection technique.A Computational Method for Optimizing Experimental Environments for Phellinus igniarius via Genetic Algorithm and BP Neural Network.Optimization to the Culture Conditions for Phellinus Production with Regression Analysis and Gene-Set Based Genetic Algorithm.Identifying the Types of Ion Channel-Targeted Conotoxins by Incorporating New Properties of Residues into Pseudo Amino Acid Composition.iRSpot-DACC: a computational predictor for recombination hot/cold spots identification based on dinucleotide-based auto-cross covarianceBP Neural Network Could Help Improve Pre-miRNA Identification in Various Species.PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition.Combining pseudo dinucleotide composition with the Z curve method to improve the accuracy of predicting DNA elements: a case study in recombination spots.Identification of Secretory Proteins in Mycobacterium tuberculosis Using Pseudo Amino Acid Composition.Recombination Hotspot/Coldspot Identification Combining Three Different Pseudocomponents via an Ensemble Learning Approach.An efficient strategy using k-mers to analyse 16S rRNA sequences.Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition.Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology.BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches.
P2860
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P2860
Recombination spot identification Based on gapped k-mers.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Recombination spot identification Based on gapped k-mers.
@en
type
label
Recombination spot identification Based on gapped k-mers.
@en
altLabel
Recombination spot identification Based on gapped k-mers
@en
prefLabel
Recombination spot identification Based on gapped k-mers.
@en
P2093
P2860
P356
P1433
P1476
Recombination spot identification Based on gapped k-mers.
@en
P2093
P2860
P2888
P356
10.1038/SREP23934
P407
P577
2016-03-31T00:00:00Z