Peer-reviewed Articles - Computer sci

46 downloads
209 views

Background Bladder cancer is a malignant tumor in the urinary system with high mortality and recurrence rates. However, the causes and recurrence mechanism of bladder cancer are not fully understood. In this study, we used integrated bioinformatics to screen for...

["Bioinformatics","Oncology","Data Mining and Machine Learning"]
doi:10.7717/peerj.6036
31 downloads
245 views

Motivation The identification of functional sequence variations in regulatory DNA regions is one of the major challenges of modern genetics. Here, we report results of a combined multifactor analysis of properties characterizing functional sequence variants located...

["Bioinformatics","Genomics","Data Mining and Machine Learning"]
doi:10.7717/peerj.5742
43 downloads
257 views

We present PromoterPredict, a dynamic multiple regression approach to predict the strength of Escherichia coli promoters binding the σ70 factor of RNA polymerase. σ70 promoters are ubiquitously used in recombinant DNA technology, but characterizing their strength...

["Bioinformatics","Computational Biology","Genomics","Synthetic Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj.5862
77 downloads
459 views

Colorectal cancer (CRC) has a high incident rate in both men and women and is affecting millions of people every year. Genome-wide association studies (GWAS) on CRC have successfully revealed common single-nucleotide polymorphisms (SNPs) associated with CRC risk....

["Bioinformatics","Computational Biology","Genetics","Epidemiology","Data Mining and Machine Learning"]
doi:10.7717/peerj.5854
129 downloads
681 views

Advances in sequencing techniques have led to exponential growth in biological data, demanding the development of large-scale bioinformatics experiments. Because these experiments are computation- and data-intensive, they require high-performance computing techniques...

["Bioinformatics","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5551
215 downloads
1,089 views

Piwi-interacting RNAs (piRNAs) are the largest class of small non-coding RNAs discovered in germ cells. Identifying piRNAs from small RNA data is a challenging task due to the lack of conserved sequences and structural features of piRNAs. Many programs have been...

["Bioinformatics","Computational Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj.5429
152 downloads
677 views

The advent of next-generation sequencing has resulted in transcriptome-based approaches to investigate functionally significant biological components in a variety of non-model organism. This has resulted in the area of “venomics”: a rapidly growing field using...

["Bioinformatics","Data Mining and Machine Learning"]
doi:10.7717/peerj.5361
147 downloads
433 views

With an unprecedented growth in the biomedical literature, keeping up to date with the new developments presents an immense challenge. Publications are often studied in isolation of the established literature, with interpretation being subjective and often introducing...

["Bioinformatics","Algorithms and Analysis of Algorithms","Data Mining and Machine Learning","Software Engineering","Visual Analytics"]
doi:10.7717/peerj.5047
219 downloads
929 views

Although most of the cervical cancer cases are reported to be closely related to the Human Papillomavirus (HPV) infection, there is a need to study genes that stand up differentially in the final actualization of cervical cancers following HPV infection. In this...

["Bioinformatics","Computational Biology","Pathology","Computational Science","Data Mining and Machine Learning"]
doi:10.7717/peerj.5285
180 downloads
589 views

Introduction Sleep scoring is an important step in the treatment of sleep disorders. Manual annotation of sleep stages is time-consuming and experience-relevant and, therefore, needs to be done using machine learning techniques. Methods Sleep-EDF polysomnography...

["Bioinformatics","Neuroscience","Data Mining and Machine Learning"]
doi:10.7717/peerj.5247
1 citation
327 downloads
779 views

Objective Gastric cancer (GC) is the fourth most common cause of cancer-related deaths in the world. In the current study, we aim to identify the hub genes and uncover the molecular mechanisms of GC. Methods The expression profiles of the genes and the miRNAs were...

["Bioinformatics","Gastroenterology and Hepatology","Data Mining and Machine Learning"]
doi:10.7717/peerj.5180
180 downloads
646 views

Low-cost phenotyping using proximal sensors is increasingly becoming popular in plant breeding. As these techniques generate a large amount of data, analysis pipelines that do not require expertise in computer programming can benefit a broader user base. In this...

["Agricultural Science","Bioinformatics","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj.5031
345 downloads
950 views

A robust and accurate gene expression signature is essential to assist oncologists to determine which subset of patients at similar Tumor-Lymph Node-Metastasis (TNM) stage has high recurrence risk and could benefit from adjuvant therapies. Here we applied a two-step...

["Bioinformatics","Gastroenterology and Hepatology","Oncology","Data Mining and Machine Learning"]
doi:10.7717/peerj.4942
106 downloads
665 views

As a DNA binding transcriptional activator, Gal4 promotes the expression of genes responsible for galactose metabolism. The Gal4 protein from Saccharomyces cerevisiae (baker’s yeast) has become a model for studying eukaryotic transcriptional activation in general...

["Bioinformatics","Computational Biology","Data Mining and Machine Learning"]
doi:10.7717/peerj.4844
659 downloads
2,142 views

Cervical cancer remains a significant cause of mortality all around the world, even if it can be prevented and cured by removing affected tissues in early stages. Providing universal and efficient access to cervical screening programs is a challenge that requires...

["Bioinformatics","Computational Biology","Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.154

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