Tumor evolution: Linear, branching, neutral or punctuated?

A Davis, R Gao, N Navin - Biochimica et Biophysica Acta (BBA)-Reviews …, 2017 - Elsevier
Intratumor heterogeneity has been widely reported in human cancers, but our knowledge of
how this genetic diversity emerges over time remains limited. A central challenge in studying …

Waterborne pathogens: detection methods and challenges

FY Ramírez-Castillo, A Loera-Muro, M Jacques… - Pathogens, 2015 - mdpi.com
Waterborne pathogens and related diseases are a major public health concern worldwide,
not only by the morbidity and mortality that they cause, but by the high cost that represents …

[HTML][HTML] UALCAN: a portal for facilitating tumor subgroup gene expression and survival analyses

DS Chandrashekar, B Bashel, SAH Balasubramanya… - Neoplasia, 2017 - Elsevier
Abstract Genomics data from The Cancer Genome Atlas (TCGA) project has led to the
comprehensive molecular characterization of multiple cancer types. The large sample …

Gold nanoparticles for diagnostics: advances towards points of care

M Cordeiro, F Ferreira Carlos, P Pedrosa, A Lopez… - Diagnostics, 2016 - mdpi.com
The remarkable physicochemical properties of gold nanoparticles (AuNPs) have prompted
developments in the exploration of biomolecular interactions with AuNP-containing systems …

Volcano plots in analyzing differential expressions with mRNA microarrays

W Li - Journal of bioinformatics and computational biology, 2012 - World Scientific
A volcano plot displays unstandardized signal (eg log-fold-change) against noise-
adjusted/standardized signal (eg t-statistic or-log10 (p-value) from the t-test). We review the …

Transcriptomics for child and adolescent tuberculosis

M Kaforou, C Broderick, O Vito, M Levin… - Immunological …, 2022 - Wiley Online Library
Tuberculosis (TB) in humans is caused by Mycobacterium tuberculosis (Mtb). It is estimated
that 70 million children (< 15 years) are currently infected with Mtb, with 1.2 million each year …

Transfer learning for molecular cancer classification using deep neural networks

RK Sevakula, V Singh, NK Verma… - … /ACM transactions on …, 2018 - ieeexplore.ieee.org
The emergence of deep learning has impacted numerous machine learning based
applications and research. The reason for its success lies in two main advantages: 1) it …

Liposome and lipid bilayer arrays towards biosensing applications

M Bally, K Bailey, K Sugihara, D Grieshaber, J Vörös… - Small, 2010 - Wiley Online Library
Sensitive and selective biosensors for high‐throughput screening are having an increasing
impact in modern medical care. The establishment of robust protein biosensing platforms …

Discovering biomarkers for antidepressant response: protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics …

RW Lam, R Milev, S Rotzinger, AC Andreazza, P Blier… - BMC psychiatry, 2016 - Springer
Abstract Background Major Depressive Disorder (MDD) is among the most prevalent and
disabling medical conditions worldwide. Identification of clinical and biological markers …

Effect of heat stress on the porcine small intestine: a morphological and gene expression study

J Yu, P Yin, F Liu, G Cheng, K Guo, A Lu, X Zhu… - … and Physiology Part A …, 2010 - Elsevier
With the presence of global warming, the occurrence of extreme heat is becoming more
common, especially during the summer, increasing pig susceptibility to severe heat stress …