Literature DB >> 25812745

KeBABS: an R package for kernel-based analysis of biological sequences.

Johannes Palme1, Sepp Hochreiter1, Ulrich Bodenhofer1.   

Abstract

KeBABS provides a powerful, flexible and easy to use framework for KE: rnel- B: ased A: nalysis of B: iological S: equences in R. It includes efficient implementations of the most important sequence kernels, also including variants that allow for taking sequence annotations and positional information into account. KeBABS seamlessly integrates three common support vector machine (SVM) implementations with a unified interface. It allows for hyperparameter selection by cross validation, nested cross validation and also features grouped cross validation. The biological interpretation of SVM models is supported by (1) the computation of weights of sequence patterns and (2) prediction profiles that highlight the contributions of individual sequence positions or sections.
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Year:  2015        PMID: 25812745     DOI: 10.1093/bioinformatics/btv176

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

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Journal:  Nucleic Acids Res       Date:  2019-05-21       Impact factor: 16.971

2.  Centromere evolution and CpG methylation during vertebrate speciation.

Authors:  Kazuki Ichikawa; Shingo Tomioka; Yuta Suzuki; Ryohei Nakamura; Koichiro Doi; Jun Yoshimura; Masahiko Kumagai; Yusuke Inoue; Yui Uchida; Naoki Irie; Hiroyuki Takeda; Shinich Morishita
Journal:  Nat Commun       Date:  2017-11-28       Impact factor: 14.919

3.  DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques.

Authors:  Maha A Thafar; Rawan S Olayan; Haitham Ashoor; Somayah Albaradei; Vladimir B Bajic; Xin Gao; Takashi Gojobori; Magbubah Essack
Journal:  J Cheminform       Date:  2020-06-29       Impact factor: 5.514

4.  In silico proof of principle of machine learning-based antibody design at unconstrained scale.

Authors:  Rahmad Akbar; Philippe A Robert; Cédric R Weber; Michael Widrich; Robert Frank; Milena Pavlović; Lonneke Scheffer; Maria Chernigovskaya; Igor Snapkov; Andrei Slabodkin; Brij Bhushan Mehta; Enkelejda Miho; Fridtjof Lund-Johansen; Jan Terje Andersen; Sepp Hochreiter; Ingrid Hobæk Haff; Günter Klambauer; Geir Kjetil Sandve; Victor Greiff
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

5.  Reference-based comparison of adaptive immune receptor repertoires.

Authors:  Cédric R Weber; Teresa Rubio; Longlong Wang; Wei Zhang; Philippe A Robert; Rahmad Akbar; Igor Snapkov; Jinghua Wu; Marieke L Kuijjer; Sonia Tarazona; Ana Conesa; Geir K Sandve; Xiao Liu; Sai T Reddy; Victor Greiff
Journal:  Cell Rep Methods       Date:  2022-08-22

6.  A multiple kernel learning algorithm for drug-target interaction prediction.

Authors:  André C A Nascimento; Ricardo B C Prudêncio; Ivan G Costa
Journal:  BMC Bioinformatics       Date:  2016-01-22       Impact factor: 3.169

7.  Prediction of gene regulatory enhancers across species reveals evolutionarily conserved sequence properties.

Authors:  Ling Chen; Alexandra E Fish; John A Capra
Journal:  PLoS Comput Biol       Date:  2018-10-04       Impact factor: 4.475

Review 8.  Revealing Drug-Target Interactions with Computational Models and Algorithms.

Authors:  Liqian Zhou; Zejun Li; Jialiang Yang; Geng Tian; Fuxing Liu; Hong Wen; Li Peng; Min Chen; Ju Xiang; Lihong Peng
Journal:  Molecules       Date:  2019-05-02       Impact factor: 4.411

  8 in total

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