
Khawla Seddiki- PhD
- PhD Student at Université Laval
Khawla Seddiki
- PhD
- PhD Student at Université Laval
About
12
Publications
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Introduction
I am currently working during my PhD at the Department of Molecular Medicine, Laval University on the development of machine learning models for mass spectrometry data classification in real-time for the diagnostic of cancer
Current institution
Publications
Publications (12)
Liquid chromatography-mass spectrometry (LC-MS) is a powerful method for cell profiling. The use of LC-MS technology is a tool of choice for cancer research since it provides molecular fingerprints of analyzed tissues. However, the ubiquitous presence of noise, the peaks shift between acquisitions, and the huge amount of information owing to the hi...
Rapid and accurate clinical diagnosis remains challenging. A component of diagnosis tool development is the design of effective classification models with Mass spectrometry (MS) data. Some Machine Learning approaches have been investigated but these models require time-consuming preprocessing steps to remove artifacts, making them unsuitable for ra...
Rapid and accurate clinical diagnosis of pathological conditions remains highly challenging. A very important component of diagnosis tool development is the design of effective classification models with Mass spectrometry (MS) data. Some popular Machine Learning (ML) approaches have been investigated for this purpose but these ML models require tim...
Diatoms are a major phylum of phytoplankton biodiversity and a resource considered for biotechnological developments , as feedstock for biofuels and applications ranging from food, human health or green chemistry. They contain a secondary plastid limited by four membranes, the outermost one being connected with the endoplasmic reticulum (ER). Upon...
Jasmonic acid (JA) biosynthesis and signaling are activated in Arabidopsis cultivated in phosphate (Pi) deprived conditions. This activation occurs mainly in photosynthetic tissues and is less important in roots. In leaves, the enhanced biosynthesis of JA coincides with membrane glycerolipid remodeling triggered by the lack of Pi. We addressed the...
We undertook divergent selection experiments (Saclay DSEs) to investigate the genetic bases of phenotypic evolution in two inbred maize inbred lines, F252 and MBS847. The selected trait was flowering time. After 13 generations of selection, we obtained five distinct populations with a time-lag of roughly two weeks between Early- and Late/VeryLate-f...
Thraustochytrids are marine protists highly ecologically relevant in mangrove environments. The family Thraustochytriaceae underwent profound taxonomical rearrangements in the last decade, with the description and emendation of several genera. Here, we identified two new thraustochytrid strains (CCAP 4062/1 and CCAP 4062/3) collected from the same...
Thraustochytrids are marine unicellular heterokont eukaryotes (1). Although their distribution in aquatic ecosystems can be broad, up to depth of 4,000 m, they colonize mainly mangrove habitats (2). They are characterized by: i) monocentric thallus, ii) ectoplasmic net systems, iii) scaly cell walls, iv) intricate life cycles (3). The ability of so...
Microalgae are a promising feedstock for the production of triacylglycerol (TAG) for a variety of potential applications, ranging from food and human health to biofuels and green chemistry. However, obtaining high TAG yields is challenging. A phenotypic assay for accumulation of oil droplets was developed to screen a library of 1,200 drugs, annotat...
Nitric oxide (NO) is an intermediate of the nitrogen cycle, an industrial pollutant and a marker of climate change. NO also acts as a gaseous transmitter in a variety of biological processes. The impact of environmental NO needs to be addressed. In diatoms, a dominant phylum in phytoplankton, NO was reported to mediate programmed cell death (PCD) i...
Questions
Questions (2)
Hi everyone,
I am looking for an LC-MS dataset where two or more conditions are compared and biomarkers (or important metabolites) from each condition are identified. I need the name of the biomarker, its mz value and its retention time value.
Dear all,
I am looking for a LC-MS spike-in dataset with :
- two or more classes.
- at least a hundred of samples.
- a list of the spiked peptides (mz and RT).
I found a dataset in Leepika Tuli et al, 2012 (https://www.researchgate.net/publication/221865421_Using_a_spike-in_experiment_to_evaluate_analysis_of_LC-MS_data) which corresponds perfectly to what I am looking for, but it contains only 10 samples.