Predicting the types of J-proteins using clustered amino acids.

Predicting the types of J-proteins using clustered amino acids.

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http://www.wikidata.org/entity/Q38920078
Survey of Programs Used to Detect Alternative Splicing Isoforms from Deep Sequencing Data In SilicoRAMPred: identifying the N(1)-methyladenosine sites in eukaryotic transcriptomesIdentification of Multi-Functional Enzyme with Multi-Label ClassifierJPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method.Prediction of protein-protein interactions with clustered amino acids and weighted sparse representation.Identification of apolipoprotein using feature selection technique.Prediction of phosphothreonine sites in human proteins by fusing different features.PAI: Predicting adenosine to inosine editing sites by using pseudo nucleotide compositions.A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method.Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition.Predicting the Organelle Location of Noncoding RNAs Using Pseudo Nucleotide Compositions.ir-HSP: Improved Recognition of Heat Shock Proteins, Their Families and Sub-types Based On g-Spaced Di-peptide Features and Support Vector Machine.
P2860

Predicting the types of J-proteins using clustered amino acids.

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http://www.wikidata.org/entity/Q38920078
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2014 nî lūn-bûn
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Predicting the types of J-proteins using clustered amino acids.
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label
Predicting the types of J-proteins using clustered amino acids.
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Predicting the types of J-proteins using clustered amino acids.
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P1433
P1476
P2093
P2860
P304
P31
P356
P407
P478
P50
P577
P5875
P698
P932
P356
P1433
P1476
Predicting the types of J-proteins using clustered amino acids
@en
P2093
P2860
P304
P31
P356
P407
P478
P50
P577
P5875
P698
P932