Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
about
Predicting influenza antigenicity from Hemagglutintin sequence data based on a joint random forest method.An integrated method for the identification of novel genes related to oral cancerDiscovery of novel therapeutic properties of drugs from transcriptional responses based on multi-label classification.Synthetic biology approaches for the production of plant metabolites in unicellular organisms.Protein remote homology detection based on bidirectional long short-term memoryA sparse autoencoder-based deep neural network for protein solvent accessibility and contact number prediction.Emerging Diagnostic and Therapeutic Potentials of Human Hair Proteomics.ProtDec-LTR2.0: an improved method for protein remote homology detection by combining pseudo protein and supervised Learning to Rank.SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides.Distinguishing mirtrons from canonical miRNAs with data exploration and machine learning methods.Predicting Influenza Antigenicity by Matrix Completion With Antigen and Antiserum Similarity
P2860
Q33685639-901E9123-8756-4B01-95A4-B334C72A0D8FQ36338202-D8B999C6-89EE-4849-B77C-0E3901701E58Q38645873-23468BE3-8F8C-49EE-89CD-D4F2E4AC7AD5Q39267086-925309AC-8C70-4632-8570-E8F8D0885518Q42374176-3DB3AE6C-A5F0-4E6C-93A9-B8E1FFFA81F7Q47136041-19E577EC-AA73-41FC-BFEF-E1F6E88899A4Q47190875-5B877C14-8BDB-4168-BC8C-68F464B08D3DQ47595206-9951BB68-D522-45C5-AC95-6947AE63E683Q50420545-82CBE9BC-869D-4EA0-AA62-7C5A8CC37B1EQ54969931-3591A82E-5B48-4B26-ADAA-9EB6C379A96CQ58572945-6F7125D5-0FD3-4722-BFFA-ADDFEF196B65
P2860
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
description
2016 nî lūn-bûn
@nan
2016 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
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
name
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
@ast
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
@en
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
@nl
type
label
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
@ast
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
@en
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
@nl
prefLabel
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
@ast
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
@en
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
@nl
P2860
P921
P356
P1476
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
@en
P2093
P2860
P356
10.3390/IJMS17122118
P407
P50
P577
2016-12-16T00:00:00Z