List of works - Alexander Schliep

A new Algorithm for Accelerating Pair-Wise Computations of Melting Temperature

An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure

scholarly article

Analyzing gene expression time-courses

scientific article published in July 2005

Automatic learning of pre-miRNAs from different species

scientific article

CLEVER: clique-enumerating variant finder

scientific article published on 11 October 2012

Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions

scientific article published on 25 January 2011

Clustering cancer gene expression data: a comparative study

scientific article (publication date: 27 November 2008)

Clustering protein sequences—structure prediction by transitive homology ⬇️

scientific article published on October 1, 2001

Comparative study on normalization procedures for cluster analysis of gene expression datasets

article

Constrained mixture estimation for analysis and robust classification of clinical time series

scientific article

Context-specific independence mixture modeling for positional weight matrices

scientific article published in July 2006

Decoding non-unique oligonucleotide hybridization experiments of targets related by a phylogenetic tree

scientific article

Developing Gato and CATBox with Python: Teaching Graph Algorithms through Visualization and Experimentation

scholarly article by Alexander Schliep & Winfried Hochstättler published 2002 in Mathematics and visualization

Efficient algorithms for the computational design of optimal tiling arrays

scientific article

Embracing heterogeneity: coalescing the Tree of Life and the future of phylogenomics

scientific article published on 14 February 2019

Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models

scientific article

Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression

scientific article

Fast MCMC sampling for hidden Markov Models to determine copy number variations

scientific article

Gene expression trees in lymphoid development

scientific article

Identifying protein complexes directly from high-throughput TAP data with Markov random fields

scientific article

Indel-tolerant read mapping with trinucleotide frequencies using cache-oblivious kd-trees

scientific article

Inferring differentiation pathways from gene expression

scientific article

Integer linear programming approaches for non-unique probe selection

Joint Analysis of In-situ Hybridization and Gene Expression Data

article

Model-Based Clustering With Hidden Markov Models and its Application to Financial Time-Series Data

New, improved, and practical k-stem sequence similarity measures for probe design

scientific article published in June 2008

On External Indices for Mixtures: Validating Mixtures of Genes

article

Optimal robust non-unique probe selection using Integer Linear Programming

scientific article published in August 2004

Partially-supervised protein subclass discovery with simultaneous annotation of functional residues

scientific article

ProClust: improved clustering of protein sequences with an extended graph-based approach.

scientific article published on January 2002

PyMix--the python mixture package--a tool for clustering of heterogeneous biological data

scientific article

Ranking and selecting clustering algorithms using a meta-learning approach

article published in 2008

Robust inference of groups in gene expression time-courses using mixtures of HMMs

scientific article published in August 2004

SLIQ: simple linear inequalities for efficient contig scaffolding

scientific article published in October 2012

Selecting Oligonucleotide Probes for Whole-Genome Tiling Arrays with a Cross-Hybridization Potential ⬇️

scientific article published on November 1, 2011

Selecting signature oligonucleotides to identify organisms using DNA arrays

scientific article published in October 2002

Semi-supervised Clustering of Yeast Gene Expression Data

article

Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data

scientific article

Single cell genome analysis of an uncultured heterotrophic stramenopile.

scientific article

Speeding Up Bayesian HMM by the Four Russians Method

Strongly Connected Components can Predict Protein Structure

The Graphical Query Language: a tool for analysis of gene expression time-courses

scientific article

The discriminant power of RNA features for pre-miRNA recognition

scientific article

Turtle: identifying frequent k-mers with cache-efficient algorithms

scientific article

Using hidden Markov models to analyze gene expression time course data

scientific article

pGQL: A probabilistic graphical query language for gene expression time courses ⬇️

scientific article (publication date: 18 April 2011)

List of works by Alexander Schliep

A new Algorithm for Accelerating Pair-Wise Computations of Melting Temperature

An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure

Analyzing gene expression time-courses

Automatic learning of pre-miRNAs from different species

CLEVER: clique-enumerating variant finder

Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions

Clustering cancer gene expression data: a comparative study

Clustering protein sequences—structure prediction by transitive homology ⬇️

Comparative study on normalization procedures for cluster analysis of gene expression datasets

Constrained mixture estimation for analysis and robust classification of clinical time series

Context-specific independence mixture modeling for positional weight matrices

Decoding non-unique oligonucleotide hybridization experiments of targets related by a phylogenetic tree

Developing Gato and CATBox with Python: Teaching Graph Algorithms through Visualization and Experimentation

Efficient algorithms for the computational design of optimal tiling arrays

Embracing heterogeneity: coalescing the Tree of Life and the future of phylogenomics

Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models

Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression

Fast MCMC sampling for hidden Markov Models to determine copy number variations

Gene expression trees in lymphoid development

Identifying protein complexes directly from high-throughput TAP data with Markov random fields

Indel-tolerant read mapping with trinucleotide frequencies using cache-oblivious kd-trees

Inferring differentiation pathways from gene expression

Integer linear programming approaches for non-unique probe selection

Joint Analysis of In-situ Hybridization and Gene Expression Data

Model-Based Clustering With Hidden Markov Models and its Application to Financial Time-Series Data

New, improved, and practical k-stem sequence similarity measures for probe design

On External Indices for Mixtures: Validating Mixtures of Genes

Optimal robust non-unique probe selection using Integer Linear Programming

Partially-supervised protein subclass discovery with simultaneous annotation of functional residues

ProClust: improved clustering of protein sequences with an extended graph-based approach.

PyMix--the python mixture package--a tool for clustering of heterogeneous biological data

Ranking and selecting clustering algorithms using a meta-learning approach

Robust inference of groups in gene expression time-courses using mixtures of HMMs

SLIQ: simple linear inequalities for efficient contig scaffolding

Selecting Oligonucleotide Probes for Whole-Genome Tiling Arrays with a Cross-Hybridization Potential ⬇️

Selecting signature oligonucleotides to identify organisms using DNA arrays

Semi-supervised Clustering of Yeast Gene Expression Data

Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data

Single cell genome analysis of an uncultured heterotrophic stramenopile.

Speeding Up Bayesian HMM by the Four Russians Method

Strongly Connected Components can Predict Protein Structure

The Graphical Query Language: a tool for analysis of gene expression time-courses

The discriminant power of RNA features for pre-miRNA recognition

Turtle: identifying frequent k-mers with cache-efficient algorithms

Using hidden Markov models to analyze gene expression time course data

pGQL: A probabilistic graphical query language for gene expression time courses ⬇️