Main findings and advances in bioinformatics and biomedical engineering- IWBBIO 2018

In the current supplement, we are proud to present seventeen relevant contributions from the 6th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2018), which was held during April 25-27, 2018 in Granada (Spain). These contributions have been chosen because of their quality and the importance of their findings.

[1]  Ping Luo,et al.  Ensemble disease gene prediction by clinical sample-based networks , 2020, BMC Bioinformatics.

[2]  E. Lespessailles,et al.  Sarcopenia negatively affects hip structure analysis variables in a group of Lebanese postmenopausal women , 2020, BMC Bioinformatics.

[3]  Pablo de Miguel-Bohoyo,et al.  Visually guided classification trees for analyzing chronic patients , 2020, BMC Bioinformatics.

[4]  Ondrej Krejcar,et al.  FLIR vs SEEK thermal cameras in biomedicine: comparative diagnosis through infrared thermography , 2020, BMC Bioinformatics.

[5]  Madjid Fathi,et al.  DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images , 2020, BMC Bioinformatics.

[6]  Xinxing Yan,et al.  Accurately estimating the length distributions of genomic micro-satellites by tumor purity deconvolution , 2020, BMC Bioinformatics.

[7]  Ignacio Rojas,et al.  Bioinformatics and Biomedical Engineering , 2018, Lecture Notes in Computer Science.

[8]  Xin Guan,et al.  Dynamic incorporation of prior knowledge from multiple domains in biomarker discovery , 2020, BMC Bioinformatics.

[9]  Jan Fostier,et al.  BLAMM: BLAS-based algorithm for finding position weight matrix occurrences in DNA sequences on CPUs and GPUs , 2020, BMC Bioinformatics.

[10]  Katarína Bachratá,et al.  Applications of machine learning for simulations of red blood cells in microfluidic devices , 2020, BMC Bioinformatics.

[11]  Mikhail N. Kramm,et al.  Conversion from electrocardiosignals to equivalent electrical sources on heart surface , 2020, BMC Bioinformatics.

[12]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..

[13]  Kathleen Steinhöfel,et al.  MicroRNA Target Prediction Based Upon Metastable RNA Secondary Structures , 2015, IWBBIO.

[14]  Jianxin Wang,et al.  Exploring the dynamics and interplay of human papillomavirus and cervical tumorigenesis by integrating biological data into a mathematical model , 2020, BMC Bioinformatics.

[15]  Enrique J. deAndrés-Galiana,et al.  Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer , 2020, BMC Bioinformatics.

[16]  Sandro C. Izidoro,et al.  visGReMLIN: graph mining-based detection and visualization of conserved motifs at 3D protein-ligand interface at the atomic level , 2020, BMC Bioinformatics.

[17]  L. Rueda,et al.  Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data , 2020, BMC Bioinformatics.

[18]  Roberto Bellotti,et al.  A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis , 2020, BMC Bioinformatics.

[19]  Jan Fostier,et al.  A BLAS-Based Algorithm for Finding Position Weight Matrix Occurrences in DNA Sequences on CPUs and GPUs , 2018, IWBBIO.

[20]  M. Sadovsky,et al.  Amazing symmetrical clustering in chloroplast genomes , 2020, BMC Bioinformatics.

[21]  Jose Antonio Reyes-Suarez,et al.  GSP4PDB: a web tool to visualize, search and explore protein-ligand structural patterns , 2020, BMC Bioinformatics.