H. Pezeshk

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Hidden Markov Models together with Neural Networks for Protein Secondary Structure Prediction

M. Sadeghi, C. Eslahchi, H. Pezeshk, 2007 .

A Segmental Semi Markov Model for protein secondary structure prediction.

Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi, 2009, Mathematical biosciences.

Extended Generator of a Regular Step Markov Process

H. Pezeshk, 1999 .

Stochastic Cell Fate and Longevity of Offspring

M. Sadeghi, H. Pezeshk, Faezeh Dorri, 2017, Cell journal.

A parametric empirical Bayes (PEB) approach for estimating maize progress percentage at field scale

H. Pezeshk, P. Irannejad, M. Ghamghami, 2020 .

Constructing circular phylogenetic networks from weighted quartets using simulated annealing.

M. Sadeghi, C. Eslahchi, H. Pezeshk, 2012, Mathematical biosciences.

A distance‐dependent atomic knowledge‐based potential and force for discrimination of native structures from decoys

Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi, 2009, Proteins.

Protein Complex Discovery by Interaction Filtering from Protein Interaction Networks Using Mutual Rank Coexpression and Sequence Similarity

Hamid Pezeshk, Bahram Goliaei, B. Goliaei, 2015, BioMed research international.

F-MAP: A Bayesian approach to infer the gene regulatory network using external hints

H. Mahjub, M. Sadeghi, H. Pezeshk, 2017, PloS one.

An Optimization Approach to Calculating Sample Sizes With Binary Responses

P. Marriott, H. Pezeshk, Vahed Maroufy, 2014, Journal of biopharmaceutical statistics.

Assignment of Protein Sequences to Protein Family Profiles Using Spatial Statistics

V. Rezaei, M. Sadeghi, C. Eslahchi, 2013 .

HOW MANY SUBJECTS? – A BAYESIAN APPROACH TOTHE DESIGN OF A CLINICAL TRIAL

H. Pezeshk, 2002 .

Optimization of electrospinning parameters for polyacrylonitrile-MgO nanofibers applied in air filtration

Somayeh Farhang Dehghan, B. Maddah, M. Latifi, 2016, Journal of the Air & Waste Management Association.

: Identifying and prioritizing genes related to Familial hypercholesterolemia QTLs using gene ontology and protein interaction networks

B. Goliaei, H. Pezeshk, Ali Kazemi-Pour, 2017 .

Identification and Prioritization Genes Related to Familial Hypercholesterolemia Quantitative Trait Loci Using Gene Ontology and Protein Interaction Networks

B. Goliaei, H. Pezeshk, Ali Kazemi-Pour, 2015 .

A Fully Bayesian Criterion for Sample Size Determination in Clinical Trials

J. Gittins, H. Pezeshk, 2022 .

A meta-analysis of gene expression data highlights synaptic dysfunction in the hippocampus of brains with Alzheimer’s disease

H. Pezeshk, S. Marashi, A. Rezayof, 2020, Scientific Reports.

The Role and Importance of Genome Sequencing in Prediction of Cancer Risk

M. Sadeghi, H. Pezeshk, A. Malekpour, 2017 .

STON:Anovelmethodforproteinthree-dimensionalstructurecomparison

Heydar Maboudi Afkham, S. Arab, M. Sadeghi, 2009 .

Haplotype block partitioning and tagSNP selection under the perfect phylogeny model

C. Eslahchi, H. Pezeshk, Ali Katanforoush, 2011 .

The choice of sample size: a mixed Bayesian / frequentist approach

J. Gittins, N. Nematollahi, H. Pezeshk, 2009, Statistical methods in medical research.

Bayesian sample size calculation for estimation of the difference between two binomial proportions

J. Gittins, P. Marriott, N. Nematollahi, 2013, Statistical methods in medical research.

Spatial Distribution of Fractures in the Asmari Formation of Iran in Subsurface Environment: Effect of Lithology and Petrophysical Properties

H. Pezeshk, M. Nemati, 2005 .

Differential Levels of Telomeric Oxidized Bases and TERRA Transcripts in Childhood Autism

H. Pezeshk, M. Eskandari, M. Eftekhar, 2020, medRxiv.

A Fully Bayesian Sample Size Determination for Inference on the Difference of two Binomial Proportions

H. Pezeshk, 2005 .

Bayesian techniques for sample size determination in clinical trials: a short review

Hamid Pezeshk, H. Pezeshk, 2003, Statistical methods in medical research.

A DECISION THEORETIC APPROACH TO SAMPLE SIZE DETERMINATION IN CLINICAL TRIALS

H Pezeshk, J. Gittins, H. Pezeshk, 2002, Journal of biopharmaceutical statistics.

A Behavioral Bayes Method for Determining the Size of a Clinical Trial

John Gittins, Hamid Pezeshk, J. Gittins, 2000 .

Natural Biased Coin Encoded in the Genome Determines Cell Strategy

Ali Sharifi-Zarchi, Hamid Mahini, Hamid Pezeshk, 2014, PloS one.

Sample Size Determination in Clinical Trials

Hamid Pezeshk, H. Pezeshk, 1999 .

DNA methylation regulates discrimination of enhancers from promoters through a H3K4me1-H3K4me3 seesaw mechanism

M. Araúzo-Bravo, H. Schöler, H. Chitsaz, 2017, BMC Genomics.

The performances of the chi-square test and complexity measures for signal recognition in biological sequences.

Changiz Eslahchi, Mehdi Kargar, Hamid Pezeshk, 2008, Journal of theoretical biology.

COMPARING THE BIDIRECTIONAL BAUM-WELCH ALGORITHM AND THE BAUM-WELCH ALGORITHM ON REGULAR LATTICE

Changiz Eslahchi, Vahid Rezaei, Hamid Pezeshk, 2013 .

MSeq-CNV: accurate detection of Copy Number Variation from Sequencing of Multiple samples

M. Sadeghi, H. Pezeshk, S. A. Malekpour, 2018, Scientific Reports.

PSE-HMM: genome-wide CNV detection from NGS data using an HMM with Position-Specific Emission probabilities

Hamid Pezeshk, Mehdi Sadeghi, Seyed Amir Malekpour, 2016, BMC Bioinformatics.

MGP-HMM: Detecting genome-wide CNVs using an HMM for modeling mate pair insertion sizes and read counts.

Hamid Pezeshk, Mehdi Sadeghi, Seyed Amir Malekpour, 2016, Mathematical biosciences.

A Bayesian cost–benefit approach to the determination of sample size in clinical trials

Hamid Pezeshk, John Gittins, J. Gittins, 2008, Statistics in medicine.

SSP: an interval integer linear programming for de novo transcriptome assembly and isoform discovery of RNA-seq reads.

Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi, 2013, Genomics.

Parrondo’s paradox for games with three players and its potential application in combination therapy for type II diabetes

Hamid Pezeshk, Mehdi Sadeghi, Yogendra P. Chaubey, 2018 .

Sexual Dimorphism in Telomere Length in Childhood Autism

H. Pezeshk, Reza Shervin Badv, M. Eskandari, 2020, Journal of Autism and Developmental Disorders.

A tale of two symmetrical tails: Structural and functional characteristics of palindromes in proteins

Changiz Eslahchi, Mehdi Kargar, Hamid Pezeshk, 2008, BMC Bioinformatics.

Denoising of genetic switches based on Parrondo’s paradox

Emad Fatemizadeh, Hamid Pezeshk, Mehdi Sadeghi, 2018 .

Optimizing aeration rates for minimizing membrane fouling and its effect on sludge characteristics in a moving bed membrane bioreactor.

Hamid Pezeshk, Naser Mehrdadi, Ali Torabian, 2011, Journal of hazardous materials.

Impact of RNA structure on the prediction of donor and acceptor splice sites

Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi, 2006, BMC Bioinformatics.

Importance of RNA secondary structure information for yeast donor and acceptor splice site predictions by neural networks

Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi, 2006, Comput. Biol. Chem..

β-Sheet capping: Signals that initiate and terminate β-sheet formation

Hamid Pezeshk, Sayed-Amir Marashi, Fahim Farzadfard, 2008 .

A Modified Hidden Markov Model and Its Application in Protein Secondary Structure Prediction

Hamid Pezeshk, David Matthews, Sima Naghizadeh, 2012 .

A pairwise residue contact area-based mean force potential for discrimination of native protein structure

Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi, 2010, BMC Bioinformatics.

Evaluating the Recovery Potential of Solid Wastes

H. Pezeshk, M B Sadough, M. Jalili Ghazizadeh, 2009 .

Adaptation of proteins to different environments: a comparison of proteome structural properties in Bacillus subtilis and Escherichia coli.

Hamid Pezeshk, Sayed-Amir Marashi, H. Pezeshk, 2007, Journal of theoretical biology.

PROSIGN: A method for protein secondary structure assignment based on three-dimensional coordinates of consecutive Calpha atoms

Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi, 2008, Comput. Biol. Chem..

Impact of residue accessible surface area on the prediction of protein secondary structures

Hamid Pezeshk, Mehdi Sadeghi, Amir Momen-Roknabadi, 2008, BMC Bioinformatics.

The influence of deposit control additives on exhaust CO and HC emissions from gasoline engines (case study: Tehran)

Hamid Pezeshk, Ali Daryabeigi Zand, Gholamreza Nabi Bidhendi, 2007 .

Influence of Sungun copper mine on groundwater quality, NW Iran

A. Karbassi, T. Nasrabadi, H. Pezeshk, 2009 .

Task modulates functional connectivity networks in free viewing behavior

Ali Masoudi-Nejad, Cees van Leeuwen, Andrey R. Nikolaev, 2017, NeuroImage.

A Fully Bayesian Approach to Calculating Sample Sizes for Clinical Trials with Binary Responses

Hamid Pezeshk, John Gittins, J. Gittins, 2002 .

How large should a clinical trial be

Hamid. Pezeshk, H. Pezeshk, 2000 .

A meta-analysis of gene expression data highlights synaptic dysfunction in the hippocampus of brains with Alzheimer’s disease

H. Pezeshk, S. Marashi, A. Rezayof, 2020, Scientific Reports.

A Probabilistic Model for the Spread of HIV Infection among Injection Drug Users

Changiz Eslahchi, Philippe J. Giabbanelli, Hamid Pezeshk, 2010 .

ProDomAs, protein domain assignment algorithm using center‐based clustering and independent dominating set

Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi, 2014, Proteins.

Inter-protein residue covariation information unravels physically interacting protein dimers

Hamid Pezeshk, Mehdi Sadeghi, Sara Salmanian, 2020, BMC Bioinform..

A Network-Based Comparison Between Molecular Apocrine Breast Cancer Tumor and Basal and Luminal Tumors by Joint Graphical Lasso

Hossein Mahjub, Maryam Shahdoust, Hamid Pezeshk, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

PSE-HMM: genome-wide CNV detection from NGS data using an HMM with Position-Specific Emission probabilities

M. Sadeghi, H. Pezeshk, S. A. Malekpour, 2016, BMC Bioinformatics.

Enhanced Evolutionary and Heuristic Algorithms for Haplotype Reconstruction Problem Using Minimum Error Correction Model

Changiz Eslahchi, Mehdi Kargar, Hamid Pezeshk, 2009 .

DNA methylation regulates discrimination of enhancers from promoters through a H3K4me1-H3K4me3 seesaw mechanism

Ali Sharifi-Zarchi, Hamidreza Chitsaz, Hossein Baharvand, 2017, BMC Genomics.

BMC Bioinformatics BioMed Central Methodology article Global haplotype partitioning for maximal associated SNP pairs

Hamid Pezeshk, Mehdi Sadeghi, Ali Katanforoush, 2009 .

STON: A novel method for protein three-dimensional structure comparison

Changiz Eslahchi, Hamid Pezeshk, Mehdi Sadeghi, 2009, Comput. Biol. Medicine.

Haplotype block partitioning and tagSNP selection under the perfect phylogeny model

C. Eslahchi, H. Pezeshk, Ali Katanforoush, 2011 .

A Cost-Benefit Approach to the Amount of Experimentation in Clinical Trials

J. Gittins, H. Pezeshk, 2006 .

Some node ordering methods for the K2 algorithm

Hamid Pezeshk, Rosa Aghdam, Vahid Rezaei Tabar, 2018, Comput. Intell..

A Behavioural Bayesian Method for Sample Size Determination in Clinical Trials

J. Gittins, H. Pezeshk, 1999 .

Generalized Baum-Welch Algorithm Based on the Similarity between Sequences

Vahid Rezaei, Hamid Pezeshk, V. Rezaei, 2013, PloS one.

Inter-protein residue covariation information unravels physically interacting protein dimers

H. Pezeshk, Sara Salmanian, Mehdi Sadeghi, 2020, BMC Bioinformatics.

Increased robustness of early embryogenesis through collective decision-making by key transcription factors

Hamidreza Chitsaz, Hossein Baharvand, Hamid Pezeshk, 2015, BMC Systems Biology.

MSeq-CNV: accurate detection of Copy Number Variation from Sequencing of Multiple samples

Hamid Pezeshk, Mehdi Sadeghi, Seyed Amir Malekpour, 2018, Scientific Reports.