| 0 | -- | 0 | Guillaume Devailly, Anagha Joshi. Insights into mammalian transcription control by systematic analysis of ChIP sequencing data |
| 13 | -- | 25 | Yixun Li, Mina Maleki, Nicholas J. Carruthers, Paul M. Stemmer, Alioune Ngom, Luis Rueda. The predictive performance of short-linear motif features in the prediction of calmodulin-binding proteins |
| 27 | -- | 37 | Jian-Yu Shi, Hua Huang, Jia-Xin Li, Peng Lei, Yan-ning Zhang, Kai Dong, Siu-Ming Yiu. TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs |
| 39 | -- | 51 | V. Bleu Knight, Elba E. Serrano. Expression analysis of RNA sequencing data from human neural and glial cell lines depends on technical replication and normalization methods |
| 53 | -- | 66 | Seyed Ziaeddin Alborzi, David W. Ritchie, Marie-Dominique Devignes. Computational discovery of direct associations between GO terms and protein domains |
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| 83 | -- | 96 | Elisabeth Yaneske, Claudio Angione. The poly-omics of ageing through individual-based metabolic modelling |
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| 115 | -- | 126 | Paolo Boldi, Marco Frasca 0001, Dario Malchiodi. Evaluating the impact of topological protein features on the negative examples selection |
| 127 | -- | 135 | Mattia Antonino Di Gangi, Giosuè Lo Bosco, Riccardo Rizzo. Deep learning architectures for prediction of nucleosome positioning from sequences data |
| 137 | -- | 149 | Mochammad Arfin Fardiansyah Nasution, Erwin Prasetya Toepak, Ahmad Husein Alkaff, Usman Sumo Friend Tambunan. Flexible docking-based molecular dynamics simulation of natural product compounds and Ebola virus Nucleocapsid (EBOV NP): a computational approach to discover new drug for combating Ebola |
| 151 | -- | 159 | Diogo Manuel Carvalho Leite, Xavier Brochet, Grégory Resch, Yok-Ai Que, Aitana Neves, Carlos Peña-Reyes. Computational prediction of inter-species relationships through omics data analysis and machine learning |
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