Zoltan Szallasi

发表

Software Infrastructure for Effective Communication and Reuse of Computational Models

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

System Modeling in Cellular Biology: From Concepts to Nuts and Bolts

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Development of Genomic Based Diagnostics in Various Application Domains

Zoltan Szallasi, 2017, DAMDID/RCDL.

Computational Constraints on Modeling in Systems Biology

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Assessing the significance of consistently mis-regulated genes in cancer associated gene expression matrices

Michael L. Bittner, Yidong Chen, Zoltan Szallasi, 2002, Bioinform..

Strand Orientation Bias Detector (SOBDetector) to remove artifacts from sequencing data of formalin fixed samples

Anders Gorm Pedersen, Zoltan Szallasi, Miklos Diossy, 2018 .

Mutual Information Analysis as a Tool to Assess the Role of Aneuploidy in the Generation of Cancer-Associated Differential Gene Expression Patterns

Zoltan Szallasi, Mattias Wahde, Gregory T. Klus, 2001, Pacific Symposium on Biocomputing.

Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response

Søren Brunak, Benjamin Haibe-Kains, Zoltan Szallasi, 2011, BMC Bioinformatics.

Models and Reality

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Stoichiometric and Constraint-based Modeling

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Fast and accurate mutation detection in whole genome sequences of multiple isogenic samples with IsoMut

Gábor E. Tusnády, Zoltan Szallasi, István Csabai, 2017, BMC Bioinformatics.

Multilevel Modeling in Systems Biology: From Cells to Whole Organs

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Genetic Network Analysis in Light of Massively Parallel Biological Data Acquisition

Zoltan Szallasi, Z. Szallasi, 1998, Pacific Symposium on Biocomputing.

Complexity and Robustness of Cellular Systems

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Improving the prediction of the clinical outcome of breast cancer using evolutionary algorithms

Zoltan Szallasi, Mattias Wahde, Z. Szallasi, 2006, Soft Comput..

Qualitative Approaches to the Analysis of Genetic Regulatory Networks

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Jetset: selecting the optimal microarray probe set to represent a gene

Zoltan Szallasi, Qiyuan Li, Balazs Györffy, 2011, BMC Bioinformatics.

Is It Time to Trade "Wet-Work" for Network?

Zoltan Szallasi, Z. Szallasi, 2003, AIME.

A Software Tools for Biological Modeling

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Synthetic Gene Regulatory Systems

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

The Role of Modeling in Systems Biology

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Methods to Identify Cellular Architecture and Dynamics from Experimental Data

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

An Introduction to the Computational Challenges in Next Generation Sequencing

Zoltan Szallasi, Z. Szallasi, 2017, DAMDID/RCDL.

Redefinition of Affymetrix probe sets by sequence overlap with cDNA microarray probes reduces cross-platform inconsistencies in cancer-associated gene expression measurements

Isaac S. Kohane, Zoltan Szallasi, Aron C. Eklund, 2005, BMC Bioinformatics.

Biological Data Acquisition for System Level Modeling—An Exercise in the Art of Compromise

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Strand Orientation Bias Detector (SOBDetector) to remove FFPE sequencing artifacts

Anders Gorm Pedersen, Zoltan Szallasi, Miklos Diossy, 2018 .

Strand Orientation Bias Detector to determine the probability of FFPE sequencing artifacts

Anders Gorm Pedersen, Zoltan Szallasi, István Csabai, 2021, Briefings Bioinform..

Assessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials.

Benjamin Haibe-Kains, Zoltan Szallasi, Charles Swanton, 2010, The Lancet. Oncology.

MuPeXI: prediction of neo-epitopes from tumor sequencing data

Zoltan Szallasi, Sine Reker Hadrup, Z. Szallasi, 2017, Cancer Immunology, Immunotherapy.

Phylogenetic ctDNA analysis depicts early stage lung cancer evolution

Ashwini Naik, Allan Hackshaw, Zoltan Szallasi, 2017, Nature.

Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal

Zoltan Szallasi, Ashish Chandra, Adam Huffman, 2018, Cell.

Quantification of within-sample genetic heterogeneity from SNP-array data

Zoltan Szallasi, Trevor A Graham, Z. Szallasi, 2017, Scientific Reports.

TumorTracer: a method to identify the tissue of origin from the somatic mutations of a tumor specimen

Zoltan Szallasi, Francesco Favero, Charles Swanton, 2015, BMC Medical Genomics.

A comprehensive survey of the mutagenic impact of common cancer cytotoxics

Gábor E. Tusnády, Zoltan Szallasi, István Csabai, 2016, Genome Biology.

In silico prediction of tumor antigens derived from functional missense mutations of the cancer gene census

Zoltan Szallasi, Z. Szallasi, J. Khalili, 2012, Oncoimmunology.

Minimising Immunohistochemical False Negative ER Classification Using a Complementary 23 Gene Expression Signature of ER Status

Benjamin Haibe-Kains, Zoltan Szallasi, Christopher T. Workman, 2010, PloS one.

Optimization of the BLASTN substitution matrix for prediction of non-specific DNA microarray hybridization

Zoltan Szallasi, Rasmus Wernersson, Aron C. Eklund, 2009, Nucleic acids research.

Numerical Simulation for Biochemical Kinetics

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Inhibition of [3H]resiniferatoxin binding to rat dorsal root ganglion membranes as a novel approach in evaluating compounds with capsaicin-like activity

Zoltan Szallasi, Peter M. Blumberg, Arpad Szallasi, 2004, Naunyn-Schmiedeberg's Archives of Pharmacology.

Bayesian Inference of Biological Systems: The Logic of Biology

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Corrigendum: Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution

Ashwini Naik, Allan Hackshaw, Zoltan Szallasi, 2017, Nature.

Tolerance of whole-genome doubling propagates chromosomal instability and accelerates cancer genome evolution.

Zoltan Szallasi, Charles Swanton, Peter Gibbs, 2014, Cancer discovery.

Systematic Evaluation of the Prognostic Impact and Intratumour Heterogeneity of Clear Cell Renal Cell Carcinoma Biomarkers

Zoltan Szallasi, Paul A. Bates, Charles Swanton, 2014, European urology.

Stochastic Modeling of Intracellular Kinetics

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

The Genome of the Chicken DT40 Bursal Lymphoma Cell Line

Gábor E. Tusnády, Zoltan Szallasi, István Csabai, 2014, G3: Genes, Genomes, Genetics.

On Modules and Modularity

Vipul Periwal, Jörg Stelling, Zoltan Szallasi, 2006 .

Replacing cRNA targets with cDNA reduces microarray cross-hybridization

Zoltan Szallasi, Z. Szallasi, R. Jensen, 2006, Nature Biotechnology.

Increased measurement accuracy for sequence-verified microarray probes.

Zoltan Szallasi, Isaac Kohane, Yoel Sadovsky, 2004, Physiological genomics.

Trading “wet-work” for network

Vipul Periwal, Zoltan Szallasi, 2002, Nature Biotechnology.

Paradoxical relationship between chromosomal instability and survival outcome in cancer.

Zoltan Szallasi, Charles Swanton, David Endesfelder, 2011, Cancer research.

A robust prognostic gene expression signature for early stage lung adenocarcinoma

Zoltan Szallasi, Marcin Krzystanek, David Szüts, 2016, Biomarker Research.

Spatial heterogeneity of the T cell receptor repertoire reflects the mutational landscape in lung cancer

Peter Schmid, Marcin Skrzypski, Allan Hackshaw, 2019, Nature Medicine.

Tumor Mutation Burden Forecasts Outcome in Ovarian Cancer with BRCA1 or BRCA2 Mutations

Zoltan Szallasi, Yang Li, Aron C. Eklund, 2013, PloS one.

Amplification of LAPTM4B and YWHAZ contributes to chemotherapy resistance and recurrence of breast cancer

Zoltan Szallasi, Lihua Zou, Yang Li, 2010, Nature Medicine.