“Papers of School of Biological Sciences”
Pages:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
A Stochastic Model of DNA Double-Strand Breaks Repair Throughout the Cell Cycle,
Bulletin of Mathematical Biology 82(2021), 1-36 [abstract]
62. S. salmanian, H. Pezeshk and M. Sadeghi,
Inter protein residue covariation information unravels physically interacting protein dimers,
BMC Bioinformatics 21(2020), 1-21 https://doi.org/10.1186/s12859-020-03930-7 [abstract]
63. M. Ghamghami, N. Ghahreman, P. Irannejad and H. Pezeshk,
A parametric empirical Bayes (PEB) approach for estimating maize progress percentage at field scale,
Agricultural and Forest Meteorology 281(2020), https://doi.org/10.1016/j.agrformet.2019.107829 [abstract]
64. H. Poormohammadi and M. Sardari Zarchi,
Netcombin: An algorithm for constructing optimal phylogenetic network from rooted triplets,
Plos One 15(2020), https://doi.org/10.1371/journal.pone.0227842 [abstract]
65. A. Emdadi and Ch. Eslahchi,
DSPLMF: A Method for Cancer Drug Sensitivity Prediction Using a Novel Regularization Approach in Logistic Matrix Factorization,
Frontiers in Genetics 11(2020), 75 [abstract]
66. F. Ahmadi Moughari and Ch. Eslahchi,
ADRML: anticancer drug response prediction using manifold learning,
Scientific Reports 10(2020), 1-18 [abstract]
67. S. A. Malekpour, A. R. Alizad-Rahvar and M. Sadeghi,
LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks,
BMC Bioinformatics 21(2020), 1-21 [abstract]
68.
LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks,
BMC Bioinformatics 21(2020), 1-21 [abstract]
69. P. Urban, V. Rezaei Tabar, G. Bokota, M. Denkiewicz, S. Basu and D. PlewczyÅ?ski,
Dendritic Spines Taxonomy: The Functional and Structural Classification ⢠Time-Dependent Probabilistic Model of Neuronal Activation,
Journal of Computational Biology (2020), https://doi.org/10.1089/cmb.2018.0155 [abstract]
70. P. Urban, V. Rezaei Tabar, M. Denkiewicz, G. Bokota, N. Das, S. Basu and D. Plewczynski,
The Mixture of Autoregressive Hidden Markov Models of Morphology for Dentritic Spines During Activation Process,
Journal of Computational Biology (2020), https://doi.org/10.1089/cmb.2019.0383 [abstract]
MR https://doi.org/10.1089/cmb.2019.0383back to top
Pages:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
