Background With the rapid accumulation of biological datasets, machine learning methods
designed to automate data analysis are urgently needed. In recent years, so-called topic …

Abstract microRNAs (miRNAs) are small endogenous non-coding RNAs that function as the
universal specificity factors in post-transcriptional gene silencing. Discovering miRNAs …

Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

One of the main computational and scientific challenges in the modern age is to extract
useful information from unstructured texts. Topic models are one popular machine-learning …

Cancer initiation and progression are defined by the behavior of cancer cells per se and the
development of tumor tissues, both of which are modulated by crosstalk between cancer …

Background Internet provides different tools for communicating with patients, such as social
media (eg, Twitter) and email platforms. These platforms provided new data sources to shed …

MicroRNAs (miRNAs) and transcription factors control eukaryotic cell proliferation,
differentiation, and metabolism through their specific gene regulatory networks. However …

Much of human knowledge sits in large databases of unstructured text. Leveraging this
knowledge requires algorithms that extract and record metadata on unstructured text …

Upregulation of Pin1 was shown to advance the functioning of several oncogenic pathways.
It was recently shown that Pin1 is potentially an excellent prognostic marker and can also …

Recommender systems provide information and items that match a user's preference. This
study proposes hybrid recommender models that use content-based filtering and latent …