Bioinformatics Research and Applications - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319949673, 9783319949680

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Correction to: A Pattern Recognition Tool for Medium-Resolution Cryo-EM Density Maps and Low-Resolution Cryo-ET Density Maps

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-94968-0_34 ◽

2019 ◽

pp. C1-C1

Author(s):

Devin Haslam ◽

Salim Sazzed ◽

Willy Wriggers ◽

Julio Kovacs ◽

Junha Song ◽

...

Keyword(s):

Pattern Recognition ◽

Low Resolution ◽

Density Maps ◽

Medium Resolution

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XPredRBR: Accurate and Fast Prediction of RNA-Binding Residues in Proteins Using eXtreme Gradient Boosting

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-94968-0_14 ◽

2018 ◽

pp. 163-173

Author(s):

Lei Deng ◽

Zuojin Dong ◽

Hui Liu

Keyword(s):

Rna Binding ◽

Gradient Boosting ◽

Extreme Gradient Boosting ◽

Binding Residues ◽

Fast Prediction

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KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-94968-0_13 ◽

2018 ◽

pp. 151-162

Author(s):

Canshang Deng ◽

Qingfeng Chen ◽

Zhixian Liu ◽

Ruiqing Zheng ◽

Jin Liu ◽

...

Keyword(s):

Random Walk ◽

Substrate Interactions ◽

Kinase Substrate

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Locality Sensitive Imputation for Single-Cell RNA-Seq Data

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-94968-0_33 ◽

2018 ◽

pp. 347-360

Author(s):

Marmar Moussa ◽

Ion I. Măndoiu

Keyword(s):

Single Cell ◽

Rna Seq

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Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA-seq Data

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-94968-0_32 ◽

2018 ◽

pp. 335-346

Author(s):

Krzysztof Gogolewski ◽

Maciej Sykulski ◽

Neo Christopher Chung ◽

Anna Gambin

Keyword(s):

Principal Component Analysis ◽

Noise Reduction ◽

Single Cell ◽

Principal Component ◽

Component Analysis ◽

Rna Seq ◽

Robust Principal Component Analysis

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LSTM Recurrent Neural Networks for Influenza Trends Prediction

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-94968-0_25 ◽

2018 ◽

pp. 259-264 ◽

Cited By ~ 8

Author(s):

Liyuan Liu ◽

Meng Han ◽

Yiyun Zhou ◽

Yan Wang

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks

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Bounds on Identification of Genome Evolution Pacemakers

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-94968-0_5 ◽

2018 ◽

pp. 51-62

Author(s):

Sagi Snir

Keyword(s):

Genome Evolution

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Extending the Evolvability Model to the Prokaryotic World: Simulations and Results on Real Data

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-94968-0_29 ◽

2018 ◽

pp. 299-313

Author(s):

Sagi Snir ◽

Ben Yohay

Keyword(s):

Real Data

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A Biologically Meaningful Extension of the Efficient Method for Deleterious Mutations Prediction in RNAs: Insertions and Deletions in Addition to Substitution Mutations

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-94968-0_15 ◽

2018 ◽

pp. 174-178

Author(s):

Alexander Churkin ◽

Danny Barash

Keyword(s):

Efficient Method ◽

Deleterious Mutations ◽

Insertions And Deletions ◽

Substitution Mutations

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Sprites2: Detection of Deletions Based on an Accurate Alignment Strategy

Bioinformatics Research and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-94968-0_12 ◽

2018 ◽

pp. 139-150

Author(s):

Zhen Zhang ◽

Jianxin Wang ◽

Junwei Luo ◽

Juan Shang ◽

Min Li ◽

...

Keyword(s):

Alignment Strategy

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Bioinformatics Research and Applications - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: A Pattern Recognition Tool for Medium-Resolution Cryo-EM Density Maps and Low-Resolution Cryo-ET Density Maps

XPredRBR: Accurate and Fast Prediction of RNA-Binding Residues in Proteins Using eXtreme Gradient Boosting

KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk

Locality Sensitive Imputation for Single-Cell RNA-Seq Data

Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA-seq Data

LSTM Recurrent Neural Networks for Influenza Trends Prediction

Bounds on Identification of Genome Evolution Pacemakers

Extending the Evolvability Model to the Prokaryotic World: Simulations and Results on Real Data

A Biologically Meaningful Extension of the Efficient Method for Deleterious Mutations Prediction in RNAs: Insertions and Deletions in Addition to Substitution Mutations

Sprites2: Detection of Deletions Based on an Accurate Alignment Strategy

Bioinformatics Research and Applications - Lecture Notes in Computer Science
Latest Publications