Results 101 to 110 of about 4,681,443 (397)
Biotite: a unifying open source computational biology framework in Python
BMC Bioinformatics, 2018 As molecular biology is creating an increasing amount of sequence and structure data, the multitude of software to analyze this data is also rising.
Patrick Kunzmann, K. Hamacher
semanticscholar +1 more source
Molecular Oncology, EarlyView.Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever +1 more
wiley +1 more source
Reduction of dynamical biochemical reaction networks in computational biology [PDF]
, 2012 Biochemical networks are used in computational biology, to model the static and dynamical details of systems involved in cell signaling, metabolism, and regulation of gene expression.
Gorban, Alexander N. +3 more
core +6 more sources
Correction: Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing. [PDF]
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1005135.].
PLOS Computational Biology Staff
doaj +1 more source
Limits of computational biology
In Silico Biology, 2015 Are we close to a complete inventory of living processes so that we might expect in the near future to reproduce every essential aspect necessary for life? Or are there mechanisms and processes in cells and organisms that are presently inaccessible to us?
openaire +4 more sources
To Embed or Not: Network Embedding as a Paradigm in Computational Biology
Frontiers in Genetics, 2019 Current technology is producing high throughput biomedical data at an ever-growing rate. A common approach to interpreting such data is through network-based analyses. Since biological networks are notoriously complex and hard to decipher, a growing body
W. Nelson +5 more
semanticscholar +1 more source
Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells
Molecular Oncology, EarlyView.In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi +3 more
wiley +1 more source
Correction: Sequential inference as a mode of cognition and its correlates in fronto-parietal and hippocampal brain regions. [PDF]
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1005418.].
PLOS Computational Biology Staff
doaj +1 more source
BioMed Research International, 2019 Artificial intelligence (AI) proves to have enormous potential in many areas of healthcare including research and chemical discoveries. Using large amounts of aggregated data, the AI can discover and learn further transforming these data into “usable ...
Nagasundaram Nagarajan +5 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source